Systems and methods for identifying physiological states of human subjects

A non-transitory computer-readable medium for identifying physiological states of human subjects and storing instructions that, when executed by a processor, cause the processor to:

• receive, from one or more sensors, physiological signals of a human;
• process the physiological signals to extract feature signals as time series.
• identify change points in the feature signals;
• identify critical change points in the feature signals by applying a voting process to the change points in the feature signals;
• partition the feature signals into segments based on the critical change points;
• detect a predetermined physiological state of the human by applying clustering and probabilistic analysis to the segments;
• and
• take automatically, in response to detecting the predetermined physiological state, an action to assist the human.

A method, comprising:

• receiving, from one or more sensors, physiological signals of a human and processing the physiological signals to extract feature signals as time series;
• identifying change points in the feature signals;
• identifying critical change points in the feature signals by applying a voting process to the change points in the feature signals and partitioning the feature signals into segments based on the critical change points;
• detecting a predetermined physiological state of the human by applying clustering and probabilistic analysis to the segments;
• and
• taking automatically, in response to detecting the predetermined physiological state, an action to assist the human.