SYSTEMS, METHODS, AND DEVICES TO DETERMINE AN INDIVIDUALS MOOD
The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and delivering content to at least one individual based on the analysis. The methods and systems described herein may involve providing a game, determining at least one lifeotype of at least one player of the game, analyzing the at least one lifeotype, and affecting the game play based on the analysis. The methods and systems described herein may involve providing an interactive space, determining at least one lifeotype of at least one individual in the space, analyzing the at least one lifeotype, and modifying at least one attribute of the space based on the analysis.
1 . A computer-system-implemented method, the computer system having at least one programmed processor to implement the method, the method comprising:
continuously collecting physiological data components with respect to an individual from a wearable sensor device;
the computer system—
(i) obtaining context information for the individual based at least in part on output from a contextual sensor;
(ii)) based on a determination that the context is a sleep-related context and the physiological data collected from the wearable sensor device, determining that the individual is in a sleep-related state; and
(iii) based on the determined sleep-related state and the sleep-related context, determining the individual's mood.
2 . The method of claim 1 , wherein the context is also determined at least in part based on the output of a plurality of sensors of the wearable sensor device.
3 . The method of claim 1 , wherein the sleep-related state is a stage of sleep, readiness for sleep, quality of sleep, duration of sleep, duration of a stage of sleep, a pre-sleep state, a post-sleep state, a sleep-dependent health state, a sleep-dependent performance state, and a physiological state during sleep.
4 . The method of claim 1 , wherein said physiological data collected from the wearable sensor device is selected from the group consisting of: derived data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, sensed data, continuously monitored data, and real-time data.
5 . The method of claim 1 , wherein at least one data component collected from a wearable sensor device is a data component that is derived from a plurality of sensors that is distinct from the output of any single sensor.
6 . The method of claim 1 , wherein the individual's mood is at least one of anger, sadness, happiness, enjoyment, neutral, ambivalence, frustration, and surprise.
7 . The method of claim 1 , further comprising publishing a publication of the individual's determined mood.
8 . The method of claim 1 , further comprising providing targeted content based on the individual's determined mood.
9 . The method of claim 8 , wherein the targeted content comprises targeted marketing materials.
10 . The method of claim 1 , wherein the individual's determined mood is communicated to at least one other individual.
11 . The method of claim 10 , further comprising providing a recommendation to the at least one other individual.