Abstract: Recommending audiovisual content items to a subscriber based on locations visited by the subscriber. Location information from a mobile device having GPS functionality is received. The location information includes locations the subscriber has visited with the mobile device. The various locations may be counted, ranked, and grouped. Interests of the subscriber are predicted based on the location information. One or more audiovisual content items associated with the predicted interest are selected. A determination regarding the predicted programming of interest being available is made. Item recommendations are generated for available ones of the selected audiovisual content items. A referral of the one or more item recommendations is presented to the subscriber.

Abstract: Methods, apparatus, and systems to collect audience measurement data are disclosed. An example system includes at least one non-transitory machine readable storage medium including instructions which, when executed, cause a machine to at least: generate behavior data developed during a first time period based on first media data and user data corresponding to one or more users of a household, the user data to include demographic information for the one or more users associated with the household, identify second media data during a second time period different than the first time period, the second media data identified without identification of the one or more users of the household, and associate the demographic information to the second media data based on the behavior data generated during the first time period associated with the one or more users.

Abstract: Methods, systems, and apparatuses for audience metric determination are described herein. An audience segment may be targeted for delivery of content. A clustering algorithm may be used to categorize a quantity of users or devices into subsets based on a propensity to consume, present or output a particular type of content, and a quantity of time to output the particular type of content. A weight may be assigned to each subset based on its relevance to other subsets, such as based on data variance, e.g., on a distance to a midpoint of a specific subset of the subsets. An index parameter may be determined for the datasets, e.g., based on each weight for each subset, and data may be generated that reflects a ranking of content delivery spots for delivery of content to the audience segment.

Abstract: Methods and apparatus to measure audience composition and recruit audience measurement panelists are disclosed. An example media device disclosed herein includes processor circuitry to execute instructions to: detect a first code embedded in a video stream of media presented by the media device, the first code to reference first audience measurement data to identify the media; after detection of the first code, provide a prompt to request input of second audience measurement data; and cause transmission of at least one of the first audience measurement data or the second audience measurement data to a remote data processing facility.

Abstract: A system and method of split rendering for lightfield or immersive media by using an edge-cloud and peer-to-peer based architecture. The system and method include the use of a combination of cloud-based devices and edge-devices to provide distributed processing in connection with the streaming of media, and in particular lightfield or immersive media, to an end user device. The system and method further include the use of multiple cloud and edge devices to provide parallel streaming of a given media package to an end user device.

Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Processor systems to estimate audience sizes and impression counts for different frequency intervals are disclosed. An example processor system includes a memory management unit (MMU) to assign requests from computing devices indicative of accesses to media to a first block of memory and to assign user-identified impression data corresponding to user-identified impressions to a second block of memory. The processor system including an arithmetic logic unit (ALU) to determine multipliers relating a first probability distribution for the user-identified impressions to a second probability distribution for census impressions. The multipliers based on probability constraints defined by weighted probabilities associated with the second probability distribution, where different ones of the probabilities weighted based on estimated populations for corresponding ones of the different demographics.

Abstract: Mechanisms for inhibiting the transmission of media content based on frequency and exposure measurements are provided.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for editing tuning data collected via automated content recognition. Examples include determining whether a time conflict exists between first tuning data corresponding to a first tuning event and second tuning data corresponding to a second tuning event. Examples also include that, in response to determining that the time conflict exists, creating a third tuning event based on the first tuning data, the second tuning data, and one or more criteria. Examples also include that modifying at least one of the first tuning event or the second tuning event based on the third tuning event. Examples also include that crediting a media presentation by the presentation device based on edited tuning data, the edited tuning data including the first modified tuning event, the second modified tuning event, and the third tuning event.

Abstract: Methods and systems are proposed herein to address the inefficiencies in the recommendation schemes available. More specifically, the embodiments disclosed herein provide a new recommendation scheme, whereby a user enters various criteria for what he/she would like to be recommended. For example, the system may receive a user preference for content recommendations from a user. The system may retrieve a user profile for the user. The system may compare the user preference to the user profile to determine a criterion for content recommendations for the user. The system may receive a content attribute for content provided by a content provider. The system may match the criterion to the content attribute. The system may, in response to matching the criterion to the content attribute, generate for display a recommendation to the user for the content.

Abstract: Methods and systems are provided for generating a program guide that simultaneously displays future content item identifiers and past content item identifiers. The future content items will be available from a content source in future time slots. The future content item identifiers are sized according to the lengths of corresponding future content items. The past content item that were available from the content source in past time slots. The past content item identifiers are not sized according to the lengths of corresponding past content items.

Abstract: Methods and apparatus to detect user attentiveness to portable devices are disclosed. An example portable device includes memory, computer readable instructions, and processor circuitry to execute the computer readable instructions to at least download an exposure measurement application from a first server via a network, and execute the exposure measurement application to detect at least one of a first orientation change of the portable device or a first position change between the portable device and a user, compare the at least one of the first orientation change or the first position change to a plurality of spatial condition change combinations associated with respective likelihoods indicative of user attentiveness related to the portable device to determine user attentiveness data associated with a presentation on the portable device, and cause the user attentiveness data to be transmitted via the network.

Abstract: Systems and methods are provided herein for determining reduction of interest in a content series and to increasing the interest upon such determination. This may be accomplished by a device monitoring consumption of a content series to determine a pattern of consumption. The device may identify a change in the pattern of consumption indicative of a reduction of interest and determine a reason for the reduction in interest. Based on the reason for the reduction of interest, the device may provide an operation, such as a spoiler, to increase interest in the content series.

Abstract: This application provides a gesture information processing method and apparatus, an electronic device, and a storage medium. The method includes: determining an electromyography signal collection target object in a gesture information usage environment; dividing the electromyography signal sample through a sliding window having a fixed window value and a fixed stride into different electromyography signals of the target object, and denoising the different electromyography signals of the target object; recognizing the denoised different electromyography signals, and determining probabilities of gesture information represented by the different electromyography signals; and weighting the probabilities of the gesture information represented by the different electromyography signals, so as to determine gesture information matching the target object.

Abstract: A flexible approach to segmenting a resource (e.g., a media resource, such as a media segment, or other resource, such as a resource normally fetched or pushed using general file transfer protocols like HTTP) into a plurality of fragments. By employing such an approach, the delay until the resource can be utilized at the client side is reduced. Certain embodiments are provided which apply the flexible segmentation approach to ISOBMFF media segments for video streaming, such as would be used with Live DASH streaming.

Abstract: Techniques for generating an interactive and dynamically updated content stream are described herein. Data assets that correspond to video segments provided by a plurality of content providers may be maintained. A video segment may correspond to a first portion of a full video segment for a piece of content from the plurality of content providers. A content stream may be generated that includes video segments provided by the plurality of content providers based at least in part on the data assets. The content stream may be presented via an application. Second input may be received via the application during presentation of the content stream that corresponds to a navigation command for displaying different content. The content stream may be updated to at least one of removing certain video segments or adding new video segments to the content stream based at least in part on the second input.

Abstract: An electronic apparatus includes a processor. The processor is configured to: obtain information about weighted values respectively assigned to a plurality of items having values that represent content features of a plurality of pieces of content, wherein the weighted values are assigned as higher weight values to items corresponding to the content features preferred by according to genres of content; identify a user content viewed by a user of the electronic apparatus; calculate similarities in values of the plurality of items, respectively, between a plurality of pieces of recommendable content and the user content, respectively; calculate recommendation scores of the plurality of pieces of content, based on the calculated similarities and the weighted values assigned to the items according to the genres; and perform a recommendation operation for one or more content pieces, of which the calculated recommendation score is equal to or higher than a preset ranking.

Abstract: Systems and methods for tuning hyperparameters of a model includes: receiving a multi-criteria tuning work request for tuning hyperparameters of the model of the subscriber to the remote tuning service, wherein the multi-criteria tuning work request includes: a first objective function of the model to be optimized by the remote tuning service; a second objective function to be optimized by the remote tuning service, the second objective function being distinct from the first objective function; computing a joint tuning function based on a combination of the first objective function and the second objective function; executing a tuning operation of the hyperparameters for the model based on a tuning of the joint function; and identifying one or more proposed hyperparameter values based on one or more hyperparameter-based points along a convex Pareto optimal curve.

Abstract: A computer-implemented method of using video program viewer interaction data that has been loaded to a media measurement database as input to a measurement engine which then calculates Linear, DVR, and VOD asset viewing activity at three levels: (a) Video Program, (b) Video Program Airing, (c) Video Program Airing Segment, where each level provides summary metrics for groupings of Demographic, Geographic, and/or Device Characteristic, and also second-by-second viewing metrics, including counting advertising impressions, within the Demographic, Geographic, Device groupings. System also accounts for reduced value of ad viewing when viewer is using trick plays or when viewer delays viewing recorded content. Together these metrics provide detailed information on customer viewing behavior which can be used to drive business decisions for service providers, advertisers and content producers. Additionally, a viewing histogram analysis is produced.

Abstract: Systems and methods are disclosed herein for determining a preference of a user for or against a participant of an event when a media asset relating to the event is being played based on monitoring user reactions to the event. Specifically, the media guidance application may detect a change of at least one of the biometric state (e.g., pulse rate, blood pressure, etc.) and physiological state (e.g., facial expression, gesture, body movement, etc.) with a user. The media guidance application may determine that an event has occurred within the sporting event that triggered the change. The media guidance application may determine that the user favors the first participant over the second participant, if the user reacts positively towards a score for the first participant in the event.

Abstract: A method, systems and apparatuses for preventing a user abandonment from a browser window are disclosed. In an exemplary embodiment, abandonment prevent on a user mobile device comprises pushing a placeholder variable onto a history object of the browser window while the user is on a first website. The user may be directed to the first website from a referrer. User may navigate backwards using a device interface element, such as a back button. When user navigation triggers a popstate, and the history for the browser is null, the user is directed to a preferred website.

Abstract: In one aspect, a method includes (i) accessing broadcast-schedule data associated with a channel; (ii) using the accessed broadcast-schedule data to identify an upcoming content-modification opportunity on the channel; (iii) responsive to identifying the upcoming content-modification opportunity on the channel, identifying a content-presentation device tuned to the channel; and (iv) causing supplemental content to be transmitted to the identified content-presentation device, to facilitate the identified content-presentation device performing a content-modification operation related to the identified upcoming content-modification opportunity on the channel.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain a plurality of input signals describing user activity associated with a plurality of entities. A respective amount of surge in user activity with each of the plurality of entities can be determined based on the plurality of input signals. The plurality of entities can be ranked based on their surges in user activity. Information describing one or more of the ranked entities can be provided as recommendations to one or more users.

Abstract: A display apparatus displaying content corresponding to an installation location and a server providing content considering the installation location of the display apparatus are provided. The display apparatus includes: a display; a communication interface configured to communicate with an external server; and a processes configured to control the communication interface to receive, from the external server, content including an element with a large number of expected viewers identified based on at least one of a number of viewers or an installation location, and control the display to display the received content.

Abstract: In some embodiments, a method receives a message that identifies an asset being viewed on a video service at a timestamp. The message is associated with a profile identifier and a plurality of messages are received for the profile identifier while using the video service. The method determines a channel identifier for a channel in which the asset is offered during the timestamp and determines whether a channel change occurred based on the channel identifier and a prior channel identifier determined from a prior message in the plurality of messages. When the channel change has occurred, the method stores the channel identifier and timestamp for the profile identifier in a data structure, wherein a list of channels is generated by querying the data structure to determine a set of channel identifiers and timestamps for the profile identifier.

Abstract: Techniques where a computing device such as a smart phone can be leveraged to facilitate ratings data capture through a set top box (“STB”) associated with a content subscription service such as satellite television are described. In an exemplary embodiment, STB channel data can be communicated to the computing device via a personal area network (“PAN”) connection such as Bluetooth. The computing device in turn can forward the STB channel data to a remote server over a wide area network (“WAN”).

Abstract: A facility for generating and displaying information regarding the packaging of individual media asset files associated with multiple scheduled presentations of interstitial media assets is provided. Scheduling information is received regarding future scheduled media presentations for each of a plurality of media assets via one or more content channels. Based at least in part on the received scheduling information, one or more package files are generated such that each package file includes a plurality of media asset files, each corresponding to at least one of the future scheduled media presentations, for distribution to a plurality of distinct media receivers. Database information is generated regarding the generating of the one or more package files, such that the database information includes a completion time associated with the generating of each package file.

Abstract: The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

Abstract: Methods, systems, and media for identifying abusive user accounts based on playlists are provided. In accordance with some embodiments of the disclosed subject matter, a method for identifying abusive content is provided, the method comprising: determining at least one feature associated with a playlist created by a user-generated channel; calculating a playlist score associated with the playlist based on a playlist classifier, wherein the playlist classifier comprises a function that maps the at least one feature to the playlist score; calculating a channel score associated with the user-generated channel based at least on the calculated playlist score; determining that one or more content items associated with the user-generated channel is to be demoted based on the calculated channel score, wherein the one or more content items comprises the playlist; and causing the one or more content items to be demoted.

Abstract: Methods, apparatus, systems and articles of manufacture to identify media sources are disclosed. Example apparatus disclosed herein include an exclusivity determiner, a unique asset identifier, and a signature matcher. The exclusivity determiner is to determine whether media is exclusive to a provider. The unique asset identifier is to associate a first signature of the media with the provider if the media is exclusive to the provider. The signature matcher is to identify the provider based on a second signature, the second signature matching the first signature, the second signature extracted from media presented at a media presentation location.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for a window-metric rule for return path data (RPD). In some examples, a media monitor includes a count calculator to determine a first count of a number of devices in a first household that reported RPD for a first day. The example media monitor also includes an RPD selector to compare the first count to a current window-metric, the current window-metric associated with a window of time for the first household, the window of time associated with a content provider and having N number of days. The example RPD selector the RPD from the first household for the first day when the first count does not satisfy the current window-metric. The example media monitor also includes a report generator to generate a media exposure report using the RPD from the first household for the first day when the first count satisfies the current window-metric, independent of if the first household has heartbeat data available.

Abstract: A method, set-top box, and non-transitory computer readable medium are disclosed for presentation of audiovisual content with closed captions. The method includes receiving, via an input device interfaced with the electronic device, an instruction requesting a replay of previously viewed video content with closed captioning; sending, to the display device interfaced with the electronic device, one or more thumbnail images of the previously viewed video content to be displayed on the display device; receiving, via the input device interfaced with the electronic device, one of the one or more thumbnail images of the previously viewed video content being selected for replay of the previously viewed video content; and sending, to the display device interfaced with the electronic device, closed captioning with the previously viewed video content starting at a video frame corresponding to the one of the one or more thumbnails of the previously viewed video content selected for replay.

Abstract: Systems and methods are described for mitigating errors introduced during processing of user input such as voice input. A query may be derived from processed user input. A performance predictor analyzes the query and uses historical data to predict whether the query will return relevant results if executed. If the query's predicted performance is below a threshold, a query rewriter may identify potential alternatives to the query from a library of “known good” queries. Different analyzers may be applied to identify different sets of alternatives, and machine learning models may be applied to rank the outputs of the analyzers. The best-matching alternatives from each analyzer may then be provided as inputs to a further machine learning model, which assesses the probability that each of the identified alternatives reflects the intent of the user. A most likely alternative may then be selected to execute in place of the original query.

Abstract: Methods, apparatus, and systems to collect audience measurement data are disclosed. Disclosed example systems include first means for processing to collect (i) first media identification data corresponding to a first time period and (ii) second media identification data corresponding to a second time period after the first time period, the first media identification data and the second media identification data associated with a monitored location and second means for processing to develop behavior data based on the first media identification data and people meter data collected during the first time period with a people meter associated with the monitored location, the people meter to be deactivated during the second time period and identify an audience member associated with the second media identification data based on the behavior data and without access to any people meter data corresponding to the second time period.

Abstract: Disclosed example apparatus to determine volume of switching (VoS) among television programs examine first viewing data associated with a first time period and second viewing data associated with a second time period to identify a first set of panelists represented in both the first and second viewing data; in response to a size of the first set of panelists satisfying both first and second thresholds, estimate the VoS based on a first subset of the first viewing data and a second subset of the second viewing data associated with the first set of panelists; and in response to the size of the first set of panelists satisfying the first but not the second threshold, estimate the VoS based on the first and second subsets, and a third subset of the first viewing data and a fourth subset of the second viewing data associated with a second set of panelists.

Abstract: Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example system includes one or more media meters to obtain tuning data, one or more people meters to obtain viewing data, and one or more servers to, in response to a determination that a difference satisfies a first threshold, determine that a first subset of the tuning data associated with first panelist households having tuned to first media in a first area exhibits local bias, determine that a second subset of the viewing data associated with second panelist households having viewed the first media in the second area represents heavy viewing, and impute the second subset of the viewing data for the first subset of the tuning data in response to the second subset of the viewing data representing heavy viewing.

Abstract: Aspects of the subject disclosure may include, for example, a method of receiving, by a processing system including a processor, viewership data for a plurality of viewers watching a program; identifying, by the processing system, an anomalous event from the viewership data, wherein the viewership data includes data points per viewer logged on a per second basis, and wherein the processing system identifies the anomalous event using a pattern recognition algorithm; analyzing, by the processing system, the viewership data to determine a reason for the anomalous event; and providing, by the processing system, a user interface that presents a comparison of the anomalous event versus a standard and indicia for the reason for the anomalous event. Other embodiments are disclosed.

Abstract: The present disclosure pertains to a base station apparatus configured, via machine learning techniques, to provide enhanced communication for one or more user equipment (UEs). This communication may be exemplarily enhanced by detecting rogue base stations and/or by predicting more optimal performance parameters. Some embodiments of this apparatus may include: creating a machine learning classifier using simulated wireless data, the simulated wireless data having known values; and applying, at a base station router (BSR), the machine learning classifier to actual wireless data. This application may be performed by converting between a wireless protocol used by the actual wireless data and a wired protocol used by the simulated wireless data.

Abstract: A method includes: sending, upon receipt of an audio-only playing instruction in a process of synchronously playing audio and video of streaming media content using DASH, a request of obtaining audio data files of the streaming media content to a server, wherein video data files formed according to video content of the streaming media content and the audio data files formed according to audio content of the streaming media content are stored in the server; receiving the audio data files of the streaming media content from the server, and parsing out the audio content according to the audio data files; performing audio-only playing for the streaming media content according to the audio content.

Abstract: Various arrangements for integrating over-the-air (OTA) television programming with streaming media are presented. An OTA integration module may request, from an OTA tuner, a stream of an OTA television channel, wherein the OTA television channel is broadcast over a geographic region on the VHF band or UHF band. The OTA integration module may receive, from the OTA tuner, the stream of the OTA television channel. The OTA integration module may provide, to a media presentation application, the stream of the OTA television channel. The media presentation application executed by the streaming media player device may output the steam of the OTA television channel for presentation.

Abstract: When a media program hosted by a creator is played by devices of listeners, the listeners execute gestures or other interactions with user interfaces displayed on the devices. Times at which the interactions are received are tracked, and the interactions are interpreted to characterize feedback regarding media content being played at the times at which the interactions are received. Portions of the media program that are of high interest to listeners, as determined by such interactions, are identified and combined into consolidated media programs and stored. The consolidated media programs formed from such portions are available to listeners, in a prerecorded format, as condensed alternatives to the media programs.

Abstract: Systems and methods for creating automatic digital representations of events may include (1) transmitting a preview segment of a recommended media item to a user's device for presentation within a media consumption interface presented within a display element of the device, (2) receiving, from the device, an indication that the user has selected a user-selectable save element presented in association with the preview segment within the media consumption interface, and (3) in response to receiving the indication, adding a full-length version of the recommended media item to a digital container maintained for the user. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate synthetic respondent level data. Example apparatus disclosed herein are to identify locations corresponding to monitored panelists, and when a first one of the identified locations corresponds to two or more affiliates, sum tuning minutes of the two or more affiliates. Disclosed example apparatus are also to generate an affiliate probability based on the sum, and convert first data of households in the first one of the locations to a candidate receivability session based on the affiliate probability. Disclosed apparatus are further to generate a seed panel, the seed panel to include at least one of the monitored panelists selected based on a population associated with return path data, and donate second data associated with a donor pool of first panelists to second panelists included in the seed panel, the second panelists associated with faulty media monitoring equipment.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to determine a duration of media presentation based on tuning session duration. Example apparatus a receiver to obtain a first tuning session duration indicative of an amount of time between channel changes of a first media presentation device at a first media presentation location, a presentation session estimator to select a model from storage, the model selected based on a match of the first tuning session duration and a second tuning session duration, the model including a relation between the second tuning session duration and a first presentation session duration of media presented on a second media presentation device at a second media presentation location, and estimate a second presentation session duration of media presented within the first tuning session duration based on the model.

Abstract: Systems and methods for a cognitive display control are disclosed. A method includes: obtaining, by a computer device, context information of current content being displayed on a display; generating, by the computer device, a respective attention score for each one of plural users for the current content; receiving, by the computer device, input to change from the current content to new content; determining, by the computer device and based on the receiving, that the attention score of at least one of the plural users exceeds a threshold value; and controlling the display, by the computer device and based on the determining, to display an alert and a prompt to confirm or reject changing to the new content.

Abstract: An online system is configured to recommend a live video to a target user by presenting the live video in the target user's newsfeed or other location. The online system receives a plurality of live videos for streaming to its users. To recommend a live video, the online system dynamically identifies a topic of each of the plurality of live videos during the streaming. The online system further selects a group of candidate live videos, each of which has an identified topic matching an interest of the target user. The online system ranks the candidates based on a probability that the target user would positively interact with each candidate live video if the candidate live video is presented to the target user. Then the online system provides a candidate above a threshold level in the ranking for display to the target user, e.g., in a newsfeed of the target user.

Abstract: Apparatus, systems, and methods are disclosed for cancellation and content recognition of audio received over a High-Definition Multimedia Interface (HDMI)/Audio Return Channel (ARC) port of a display device. The media device receives audio over the HDMI/ARC port from the display device, processes the audio by identifying, decoding, re-encoding, and fingerprinting the audio with identification information, and subsequently streams the audio within the media streaming environment, including to external speakers, such as voice-enabled speakers. Based on the identification information and recognized content of the processed audio, the media device offers additional content for streaming to a user. The media device continuously monitors for spoken voice received over a voice-enabled speaker while the media device simultaneously receives, processes, and streams audio from the display device.

Abstract: Efficient translation and load balancing of bid requests is disclosed. For example, a first network interface receives a notice from a publisher and triggering a first interrupt on a first processor. The first processor processes the first interrupt and provides the notice to a notice queue. A request translator executing on a distinct second processor translates the notice into a request. A request router sends the request to an advertiser through a selected network interface, which receives a first response triggering a second interrupt on a third processor. The second processor processes the second interrupt and provides the first response to a response queue. A response translator executing on the second processor translates the first response into an offer, which is sent to the publisher through the first network interface. Meanwhile, a second network interface triggers a third interrupt on a fourth processor after receiving a second response.

Abstract: A device receives a base video that includes an area in frames of the base video reserved for being overlaid with metadata. The device determines a first set of videos to be played next for a particular user. A selection of the first set of videos is based on a second set of videos associated with the particular user. The device receives metadata for the first set of videos and populates an executable presentation template for the base video with a set of extracted metadata. The device plays the base video and synchronizes execution of the populated presentation template with the playing of the base video to overlay the reserved area of the frames with the set of metadata to create a custom interstitial transition video that informs the particular user about the videos to be played next.

Abstract: In an example, the present invention provides a meta data processing apparatus for processing sensor inputs and providing feedback to a user for an on-line course.