Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

A haptic device for an electronic device includes an actuation member formed from a shape-memory alloy (SMA) material that changes shape (e.g., expands or contracts) in response to an applied electrical current. In some cases, the haptic devices described herein also include a restoration mechanism that restores the actuation member to its original shape or to a similar shape. The change in the shape of the actuation member and the restoration of the shape of the actuation member may produce a haptic output at the electronic device.

A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the devicesuch as motion sensors, location sensors, ambient light sensors, and the likemay also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

A device comprising an organic light-emitting diode comprising an organic layer sequence, a radiation exit area and an encapsulation, wherein the organic layer sequence comprises at least one radiation-emitting region which generates electromagnetic radiation in the spectral range from infrared radiation to UV radiation during operation, and wherein the encapsulation forms a seal of the organic layer sequence against environmental influences, at least one touch-sensitive operating element, wherein the at least one touch-sensitive operating element comprises at least one touch sensor, wherein the device is flexible.

A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the devicesuch as motion sensors, location sensors, ambient light sensors, and the likemay also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

An organic light-emitting diode comprising an organic layer sequence, a radiation exit area and an encapsulation. The organic layer sequence comprises at least one radiation-emitting region which generates electromagnetic radiation in the spectral range from infrared radiation to UV radiation during operation. The radiation exit area is structured, so that the electromagnetic radiation has a directional emission profile. The encapsulation forms a seal of the organic layer sequence against environmental influences.

One aspect of this disclosure relates to presenting a user with a stimulus to elicit user interaction with a task on a computing platform associated with the user. The stimulus may be presented on the computing platform when a set of triggering criteria is satisfied. The stimulus includes a task for the user to complete. The stimulus prompts the user to complete the task. The task includes a set of task criteria for completion. Responsive to the user satisfying the set of task criteria, the user is presented with one or more options to modify the stimulus. The user may be continuously prompted by the stimulus until the set of task criteria is satisfied.

Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.