Abstract: The disclosure relates to systems and methods for provisioning a new user to a cloud-based system through a pre-registration process where the cloud-based system generates a tokenized resource identifier based on the user's registration information provided by an external service provider and through a registration process where the user accesses the cloud-based system using the tokenized resource identifier and the cloud-based system completes the registration of the user when the user's registration information in the cloud-based system is verified against the corresponding registration information maintained by the external service provider. Once the registration is complete, data related to the registered user may be synchronized between the cloud-based system and the external service provider.

Abstract: The disclosure relates to systems and methods for providing isolation boundaries between regulated medical applications and unregulated, non-medical applications, allowing the regulated medical applications and unregulated, non-medical applications co-exist on a common web platform. The regulated medical applications and unregulated, non-medical application may be assigned to different application pools separated by the isolation boundaries. For example, a regulated medical application may be assigned to a first application pool and an unregulated, non-medical application may be assigned to a second application pool. A request directed to the regulated medical application may be received. The request may comprise instructions for causing the application to perform one or more functions. The request may be processed by a worker process associated with the first application pool such that the request can be processed independently of or separately from the second application pool.

Abstract: The disclosure relates to systems and methods for facilitating communication between a web application and a local peripheral device through a native service where the local peripheral device is locally connected to a computer having the native service. To access data associated with the local peripheral device, a browser may make a cross-domain request to the native service that resides in a domain that is different from the domain that served the web application. Prior to sending the actual cross-domain request, the browser may send a pre-flight cross-domain request to the native service. The native service may send a response to the pre-flight request to the browser. The response may comprise information related to whether the cross-domain request can be serviced by the native service. The browser may send the cross-domain request to the native service, which may comprise functions to be executed on the local peripheral device.

Abstract: A camera reading apparatus having an alignment guide is presented. The alignment guide may have a rigid platform having a substantially flat bottom surface, a substantially flat top surface that is parallel to the bottom surface, and an aperture through the top surface and the bottom surface. The bottom surface may have a first portion and may have a second portion that forms a ledge projecting from the first portion. The first portion may have a front edge, and the second portion may have a side edge. The front edge and the side edge may intersect to form a right angle.

Abstract: Methods and systems may include a motion sensor and logic to sample an output signal of the motion sensor. The logic can also be configured to track an amount of time the motion sensor is triggered based on the output signal, and transmit the amount of time over a wireless link on a periodic basis.

Abstract: A system and method for monitoring sleep stages to determine optimal arousal times and to alert an individual to negative states of wakefulness. In an embodiment, a device receives pressure data from at least one pressure sensor, where the pressure sensor is associated with furniture used for an individual to sleep. The device uses the pressure data to determine a sleep stage for the individual. The sleep stage is used to determine whether it is an optimal arousal time for the individual. The device sends an indication to not wake the individual if it is not the optimal arousal time for the individual. Other embodiments are described and claimed.

Abstract: A device and method for recording medication to be introduced into a body.

Abstract: Methods and systems may provide for a plurality of kinematic sensors to be coupled to a corresponding plurality of shanks of an individual, a processor, and a memory to store a set of instructions. If executed by the processor, the instructions can cause the system to calculate a timed up and go (TUG) time segment based on angular velocity data from the plurality of kinematic sensors. The instructions may also cause the system to calculate a derived parameter based on the angular velocity data, and generate a falls risk assessment based on at least one of the TUG time segment and the derived parameter.

Abstract: Briefly, in accordance with one or more embodiments, a monitoring system is capable of monitoring the Activities of Daily Living (ADL) of one or more persons occupying a building. The monitoring system includes an information handling system having a radio-frequency (RF) scanner capable of scanning the RF ambient environment of the building. When an individual uses devices in the building that emit RF signals or emissions, the RF signals are detected by the RF scanner and analyzed by the information handling system. The characteristics of the detected RF signals are compared to a database of signature of known devices. If a detected RF signal matches the signature of a known device, the use of the device is logged into a database for ADL analysis.

Abstract: Methods and systems may include a system including a first passive motion sensor having a lateral field of view with a first edge and a second passive motion sensor having a lateral field of view with a second edge that is substantially parallel to the first edge. The first and second edges can define a virtual beam. The system may also include logic to receive signals from the first and second passive motion sensors and determine a gait velocity and level of activity based on the signals from the first and second passive motion sensors.

Abstract: A device, method, and computer-readable medium are disclosed. In one embodiment, the device includes an inbound port to receive information from an information retrieval peripheral. The device also includes an outbound port to send information to a local computing device. The device includes masking logic to cause the local computing device to recognize the portable security device as at least one of a plurality of endpoint devices. The device also includes data obfuscation logic that is capable of obfuscating simple data format data, received from the information retrieval peripheral, obfuscating that data into a non-simple data format, and sending the obfuscated data to the local computing device. The non-simple data format includes at least one frame of video.

Abstract: A system and method of processing one or more sensor logs includes receiving a sensor log and identifying a set of entries in the sensor log having a predefined sequence of sensor identifiers. The set of entries may define a velocity event. The method can also provide for calculating an in-home gait velocity for the velocity event. In one example, the method also provides for identifying another set of entries in the sensor log having a sensor identifier that corresponds to a dwell sensor mounted in a doorway, wherein the other set of entries define a dwell event. The method may also provide for calculating an in-home dwell time for the dwell event.

Abstract: A device and method for recording medication to be introduced into a body.

Abstract: A pill identification device having a mechanical device that is adapted to roll a pill along various axes of the pill, an optical device to record or transmit images of the pill and an algorithm to compare an identifier of the pill to a database having known identifiers of known pills is disclosed. A method of identifying a pill using the pill identification device of the embodiment of this invention is disclosed herein. Also, a method of manufacturing the pill identification device of the embodiments of this invention is disclosed herein.

Abstract: A method for determining the performance of a caregiver in a monitoring system for monitoring a user in a user living area the monitoring system including a remote monitoring site, including monitoring the user living area to detect an occurrence of an event to provide a detected event, providing event information representative of the detected event and determining a response of the caregiver to the detected event to provide caregiver response information. The event information and the caregiver response information are transmitted to the remote monitoring site.

Abstract: A system, apparatus and method for experience time sampling via a mobile graphical user interface. A method includes receiving mood data from an individual in predefined time intervals via a mood mapping graphical user interface hosted by a mobile device. The mood mapping graphical user interface is comprised of a 2×2 diagram having a valence dimension and an intensity dimension. Other embodiments are described and claimed.

Abstract: Methods and systems may provide for estimating falls risk based on inertial sensor data collected during a Five Times Sit-to-Stand (FTSS) test. In an embodiment, a classifier model may be trained with inertial sensor data collected from a sample of people performing the FTSS test and their self-reported falls history. In an embodiment, one or more features related to steadiness or smoothness of the person's movement may be calculated. In an embodiment, one or more features related to timing of the FTSS test, such as a total time taken to complete the FTSS test or to complete individual sit-stand-sit (SSS) phases of the test, may be calculated. In an embodiment, supervised pattern recognition techniques may train the classifier model to classify a person as being likely to fall or not being likely to fall based on FTSS-related feature values collected from that person.

Abstract: A wireless contextual prompting device provides contextual (context-aware) prompting in the home for applications such as Activities of Daily Living (ADL) monitoring, medication adherence, journaling, social messaging and coaching. The device combines the advantages of a small, wireless, battery-operated sensor that may be easily mounted at critical places in a person's daily routine with a low-power, high-contrast display panel that may be palm sized. The context may be displayed on the display screen as images, icons and/or text such that it is easy to interpret warnings by the young, elderly, or the language-challenged.

Abstract: A system, method, and apparatus is provided for estimating a risk of falls from pressure sensor data and inertial sensor data. A classifier function may be generated to relate the inertial sensor and the pressure sensor data with the falls risk (e.g., falls risk or prospective falls data) of the person who generated the pressure sensor data and inertial sensor data. The classifier function may be used to predict a person's risk of falls based on inputs of pressure sensor data and inertial sensor data. Separate classifier functions may be generated for men and women, or separate classifier functions may be generated for patients who closed their eyes while data was being collected and for patients who opened their eyes while data was being collected.

Abstract: Methods and systems may provide for cognitive decline prediction or assessment. Baseline and follow-up inertial sensor data may be received from one or more inertial sensors attached to a person. Baseline and follow-up data indicative of cognitive decline may be received from the person. An indication of cognitive decline may be determined based on the baseline and follow-up cognitive decline data. A classifier function for predicting cognitive decline may be trained with the baseline inertial sensor data and the indication of cognitive decline. A classifier function for assessing cognitive decline may be trained with the baseline inertial sensor data, a difference between the baseline inertial sensor data and follow-up inertial sensor data, and the indication of cognitive decline.