Abstract: Methods and apparatuses for in-use charging for wearable devices are described, in which the wearable device may include an energy harvesting unit coupled with a rechargeable battery unit. The energy harvesting unit may include one or more transducers configured to generate electrical energy from various types of non-electrical energy around the wearable device such that the wearable device may replenish the rechargeable battery unit while a person uses the wearable devices. Such non-electrical energy may include electromagnetic energy, light energy, thermal energy, kinetic energy, or the like. Additionally, the rechargeable battery unit may include two or more partitions such that one of the partitions may be detached when necessary (e.g., to replace with a fully charged partition) without disrupting operations of the wearable device.

Abstract: Methods and apparatuses for providing security notification based on biometric identifier are described, in which one or more biometric information of a person may be utilized to permit or prohibit the person to access the vehicle. As such, the person may not access (or operate) the vehicle without satisfying security measures based on his/her biometric identifier generated from various biological information collected from the person. When the person is not authorized to access the vehicle, the security measures may transmit a security notification to an owner of the vehicle (e.g., a mobile device of the owner, an account of the owner) such that the owner may take appropriate steps in response to receiving the security notification. Such a notification may include the biometric information of the person, other information collected from the sensing component, a set of options for the owner to select from, among others.

Abstract: Methods and apparatuses for managing accessibility features for mobile devices are described. Accessibility features may facilitate a user to interface with his/her mobile device and may be referred to as user-interface parameters configured to generate output or to receive input. The mobile device may generate an accessibility icon corresponding to one or more user-interface parameters selected by the user. The mobile device may also store a set of values provided by the user, where individual values correspond to individual user-interface parameters. Subsequently, the mobile device displays the accessibility icon such that the user may actuate the accessibility icon to adjust the user-interface parameters based on the values. Further, the user-interface parameters may be adjusted to more than one set of values. The mobile device may generate multiple accessibility icons that each correspond to different collections of the user-interface parameters.

Abstract: Embodiments for enabling or disabling application features according to application-specific security settings are described. The application-specific security settings can control when particular security levels, corresponding to authentication procedures, are required. The security levels can correspond to authentication procedures such as requiring no password, only requiring a PIN, allowing authentication by biometrics, or requiring a password. The application-specific security settings can control security levels based on a variety of circumstances such as setting particular security levels for particular locations, setting different security levels based on time since last device use, etc. In various implementations, the security levels can be mapped to application features to enable or disable.

Abstract: Embodiments are described for a pattern-based control system that learns and applies device usage patterns for identifying and disabling devices exhibiting abnormal usage patterns. The system can learn a user's normal usage pattern or can learn abnormal usage patterns, such as a typical usage pattern for a stolen device. This learning can include human or algorithmic identification of particular sets of usage conditions (e.g., locations, changes in settings, personal data access events, application events, IMU data, etc.) or training a machine learning model to identify usage condition combinations or sequences. Constraints (e.g., particular times or locations) can specify circumstances where abnormal pattern matching is enabled or disabled. Upon identifying an abnormal usage pattern, the system can disable the device, e.g., by permanently destroying a physical component, semi-permanently disabling a component, or through a software lock or data encryption.

Abstract: A driving control system can apply driving actions such as automatically controlling driving systems (e.g., cruise control, headlights, radio volume, in-vehicle infotainment (IVI) displays, etc.) or providing notifications to the driver or third parties. The driving control system can obtain current driving requirements such as an explicit speed limit, an inferred reduced speed, conditions for heightened driver focus, a headlight requirement, etc. The driving control system can compare the current driving requirements with current driving conditions, such as a current speed, headlight indicators, radio or IVI status, etc. to determine a mismatch. Any such mismatches can be indexed into a mapping of mismatches to driving actions, and if the mismatch is mapped to a driving action, the driving action can be taken.

Abstract: Systems, apparatuses, and methods related to media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Data inputs can be written (e.g., stored) in a particular type of memory media based on characteristics (e.g., source, attributes, and/or information etc. included in the data). In an example, a method can include identifying an attribute of data based on a predetermined threshold distance; assigning a sensor of a plurality of sensors to capture the data based on the identified attribute; receiving, by a memory system that comprises a plurality of memory media types, the data from the assigned sensor; and selecting, based at least in part on information about the received data, one or more of the memory media types to write the data.

Abstract: Methods and apparatuses for emergency modes for a mobile device (e.g., a mobile phone) are described. The mobile device may receive sonic signals indicative of a voice of a person uttering words and identify the person as an authorized user. The mobile device may determine that the words correlate with an emergency situation from a set of predefined emergency situations. Further, the mobile device may determine that the emergency situation satisfies a threshold. The mobile device may perform one or more tasks (e.g., making a phone call to an emergency service), after determining that the emergency situation has satisfied the threshold. In some cases, the mobile device may monitor physiological signals of the person and/or collect additional data to increase a confidence level associated with making the determination. In some cases, the mobile device may leverage or include an artificial intelligence algorithm/engine to facilitate managing the emergency modes.

Abstract: An oxidation barrier for non-volatile memory with materials sensitive to temperature and/or cross contamination (e.g., chalcogenide materials) are described The barrier can be formed, for example, around the boundaries of a non-volatile memory tile (also known as a block or sub-array). For example, a non-volatile memory device can include an oxidation barrier on a side wall of a trench between adjacent memory tiles.

Abstract: Systems, apparatuses, and methods related to image based media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile). Determinations of which memory media types to write image data to can be made and the data can be written (e.g., stored) in the determined type of memory media. A determined memory media type can be based on attributes of the data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, initial image data from an image sensor coupled to the memory system, identifying one or more attributes of the initial image data, determining a type of memory media to write the initial image data to based on the identified attributes of the initial image data, and selecting, based at least in part on the determined type of memory media, a first memory type of the plurality of memory media types to write the initial image data.

Abstract: Methods, devices, and systems related to a user interface for modifying pictures are described. Modifying pictures can include placing an image of a picture in a different picture, replacing an image of the picture with a different image, deleting an image from the picture, and/or storing an image from the picture. In an example, a method can include displaying a first picture on a user interface of a mobile device, receiving, on the user interface, a selection of at least one foreground image included in the first picture, receiving, on the user interface, a selection of a background image included in a library of images, and displaying, on a user interface, a second picture including the at least one selected foreground image and the selected background image responsive to receiving the selection of the at least one foreground image followed by the selection of the background image.

Abstract: Systems, apparatuses, and methods related to media type selection for image data are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Image data inputs can be written (e.g., stored) in a particular type of memory media characteristics. For instance, selection of memory media can be based on one or more attributes of the image data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, image data from a first image sensor of a plurality of image sensors, identifying one or more attributes of the image data, and writing, based at least in part on the one or more attributes of the image data, the image data to a first memory media type of the plurality of memory media types.

Abstract: Systems, apparatuses, and methods related to image based media type selection are described. Memory systems can include multiple types of memory media. Data can be written in a type of memory media based on one or more settings applied to the data. A setting can be determined based on input received by a logic within the memory system. In an example, a method can include receiving, at logic within a memory system that comprising a plurality of memory media types, data from an image sensor coupled to the logic of the memory system, receiving input from a host, identifying one or more attributes of the data, analyzing the received input to determine an setting, generating the setting based on the analyzed input, and writing the data to a first memory media type of the plurality of memory media types based on the generated setting.

Abstract: Methods and devices related to a single message management platform are described. In an example, a method can include receiving a first message at a first processing resource via a first application, receiving a second message at the first processing resource via a second application, receiving the first message and the second message at a memory, storing the first message and the second message in the memory, receiving a command to open a single message management platform, receiving the first message and the second message at the single message management platform, and organizing the first message and the second message at the single message management platform.

Abstract: An oxidation barrier for non-volatile memory with materials sensitive to temperature and/or cross contamination (e.g., chalcogenide materials) are described The barrier can be formed, for example, around the boundaries of a non-volatile memory tile (also known as a block or sub-array). For example, a non-volatile memory device can include an oxidation barrier on a side wall of a trench between adjacent memory tiles.

Abstract: Methods and apparatuses for tracking a wireless peripheral device are described, in which various parameters are monitored to determine whether a predetermined condition satisfies a threshold. The parameters may be associated with a wireless communication link established between the wireless peripheral device and a host device. Further, the predetermined conditions may be related to circumstances that may result in losing the wireless communication link and/or the wireless peripheral device. In some cases, the wireless peripheral device may spontaneously transmit signals to the host device to inform its location or to request the host device to perform certain tasks. In some cases, the host device may send a command to the wireless peripheral device to report its location. Also, the wireless peripheral device may be configured to notify the owner upon accepting an input from a person who finds the wireless peripheral device.

Abstract: Systems, apparatuses, and methods related to media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Data inputs can be written (e.g., stored) in a particular type of memory media based on characteristics (e.g., source, attributes, and/or information etc. included in the data). For instance, selection of memory media can be based on characteristics of the memory media type and the attributes of the data input. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, data from at least one of a plurality of sensors, identifying one or more attributes of the data; and selecting, based at least in part on the one or more attributes of the data, one or more of the memory media types to write the data to.

Abstract: An oxidation barrier for non-volatile memory with materials sensitive to temperature and/or cross contamination (e.g., chalcogenide materials) are described The barrier can be formed, for example, around the boundaries of a non-volatile memory tile (also known as a block or sub-array). For example, a non-volatile memory device can include an oxidation barrier on a side wall of a trench between adjacent memory tiles.