Abstract: Valence states comprise physical states associated with emotional reaction to one or more events. Users may want to alter their reaction during such valence states (improve performance, reduce stress or anxiety, etc.). Physiological responses of a user wearing a valence state monitor may be recorded during waking life. When a physiological response associated with a valence state is determined, the valence state monitor may produce one or more cues comprising sounds, lights, haptic feedback, and/or electric shock, etc. During sleep, physiological responses of the may be used to determine the user is entering a dream phase (REM or N2) and, during such periods the cue and/or additional cues may be administered such that the user's memory is triggered to prime an associative thought of the valence experience while dreaming. By priming an associative thought during sleep, the user may better work through and adapt to various valence experiences while awake.

Abstract: Systems and techniques for enhanced sleep tracking, monitoring, and conditioning are discussed herein. In some examples, a nearable enhancement device may be configured to receive a smart phone or other mobile device such that one or more processors and sensors of the smart phone may be used to perform one or more processes.

Abstract: Valence states comprise physical states associated with emotional reaction to one or more events. Users may want to alter their reaction during such valence states (improve performance, reduce stress or anxiety, etc.). Physiological responses of a user wearing a valence state monitor may be recorded during waking life. When a physiological response associated with a valence state is determined, the valence state monitor may produce one or more cues comprising sounds, lights, haptic feedback, and/or electric shock, etc. During sleep, physiological responses of the may be used to determine the user is entering a dream phase (REM or N2) and, during such periods the cue and/or additional cues may be administered such that the user's memory is triggered to prime an associative thought of the valence experience while dreaming. By priming an associative thought during sleep, the user may better work through and adapt to various valence experiences while awake.

Abstract: Sleep monitoring and stimulation comprises collecting actigraphy data from a user. The user's sleep phase is determined using the actigraphy data. At least one stimulation, determined at least in part on the sleep phase, is directed towards the user. Subsequent actigraphy data is collected from the user. The actigraphy data and subsequent actigraphy data is used to determine the user's subsequent sleep phase. The stimulation is modified, based at least in part upon the subsequent sleep phase.

Abstract: Sleep monitoring and stimulation comprises collecting actigraphy data from a user. The user's sleep phase is determined using the actigraphy data. At least one stimulation, determined at least in part on the sleep phase, is directed towards the user. Subsequent actigraphy data is collected from the user. The actigraphy data and subsequent actigraphy data is used to determine the user's subsequent sleep phase. The stimulation is modified, based at least in part upon the subsequent sleep phase.

Abstract: A system for providing a user with situational information. A user state is defined by information specific to a user, such as location and physiological state of the user, (e.g. fatigue). A travel state is defined by information regarding a transportation service, for example delayed or on time. A geo-location state is determined by the user's location. Situational information is displayed to the user based on the user state, the travel state, and any relevant merchants that are nearby the user. This may include information about the transportation, merchants, or advertisements. The user state may also include sensor data from at least one wearable sensor located on the user. The user state may be aggregated from multiple users to determine congestion, predict emergency situations, and provide alternative routes.

Abstract: Sleep monitoring and stimulation comprises collecting actigraphy data from a user. The user's sleep phase is determined using the actigraphy data. At least one stimulation, determined at least in part on the sleep phase, is directed towards the user. Subsequent actigraphy data is collected from the user. The actigraphy data and subsequent actigraphy data is used to determine the user's subsequent sleep phase. The stimulation is modified, based at least in part upon the subsequent sleep phase.

Abstract: Embodiments treat cyclical behaviors based on behavioral data describing physiological factors affecting the behaviors. According to various embodiments, a processor or probe produce, from the behavioral data, factor data concerning the factors. Using a processor or recommendation engine that analyzes the factor data, treatment data is recommended based on an estimate of how the at least one factor affects the at least one cyclical behavior. A processor or feedback engine determines, from the treatment data, behavioral feedback configured to produce new behavioral data and to harness the effects of the factors to improve the cyclical behaviors.

Abstract: Embodiments treat cyclical behaviors based on behavioral data describing physiological factors affecting the behaviors. According to various embodiments, a processor or probe produce, from the behavioral data, factor data concerning the factors. Using a processor or recommendation engine that analyzes the factor data, treatment data is recommended based on an estimate of how the at least one factor affects the at least one cyclical behavior. A processor or feedback engine determines, from the treatment data, behavioral feedback configured to produce new behavioral data and to harness the effects of the factors to improve the cyclical behaviors.