# US 2025/0366751 A1 · Systems and methods for identifying physiological states of human subjects > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0366751 A1 - Document ID: US20250366751A1 - Status: Published application - Kind: A1 - Application number: 18/732,962 - Filed: 2024-06-04 - Published: 2025-12-04 - Earliest claimed: 2024-06-04 - Assignees: Toyota Motor Engineering & Manufacturing North America, Inc. - Applicants: Toyota Motor Engineering & Manufacturing North America, Inc. - Inventors: Hossein Hamidi Shishavan; Ercan Mehmet Dede; Paul Donald Schmalenberg - Web page: https://patentgrep.com/patent/US20250366751A1 ## CPC - A61B 5/18: for vehicle drivers {or machine operators} - A61B 5/02416: {using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence)} - A61B 5/369: Electroencephalography [EEG] - A61B 5/6802: {Sensor mounted on worn items} - A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems} - A61B 5/74: {Details of notification to user or communication with user or patient; User input means} - G16H 10/20: for electronic clinical trials or questionnaires - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract Systems and methods for identifying physiological states of human subjects are disclosed herein. In one embodiment, a system receives, from one or more sensors, physiological signals of a human subject. The system processes the physiological signals to extract feature signals as time series. The system identifies change points in the feature signals. The system identifies critical change points in the feature signals by applying a voting process to the change points in the feature signals. The system partitions the feature signals into segments based on the critical change points. The system detects a predetermined physiological state (an anomalous physiological state) of the human subject by applying clustering and probabilistic analysis to the segments. In response to detecting the predetermined physiological state, the system automatically takes an action to assist the human subject. ## Claims ### Claim 1 A system for identifying physiological states of human subjects, the system comprising: a processor; and a memory storing machine-readable instructions that, when executed by the 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. ### Claim 2 (depends on 1) The system of claim 1, wherein the machine-readable instructions include further instructions that, when executed by the processor, cause the processor to compare the detected predetermined physiological state with one of a self-report questionnaire of the human and event timestamps captured by one or more environmental sensors in an environment of the human to adjust one or more thresholds of a change point detection algorithm. ### Claim 3 (depends on 1) The system of claim 1, wherein the predetermined physiological state is one of a symptomatic illness, an emotion, stress, and drowsiness. ### Claim 4 (depends on 3) The system of claim 3, wherein the symptomatic illness is one of a heart condition and motion sickness. ### Claim 5 (depends on 1) The system of claim 1, wherein the human is a driver of a vehicle equipped with the system. ### Claim 6 (depends on 5) The system of claim 5, wherein the action includes one or more of: notifying the human regarding the detected predetermined physiological state; notifying the human regarding a potentially unsafe driving condition stemming from the detected predetermined physiological state; notifying the human regarding a symptomatic illness of the human based on the detected predetermined physiological state; advising the human regarding mitigation of the detected physiological state; suggesting to the human that the human take an alternate route to a planned destination; communicating with one of a person associated with the human and an artificial-intelligence (AI) system to obtain help for the human; assuming at least partial control over operation of the vehicle to mitigate a potentially unsafe driving condition stemming from the detected predetermined physiological state; and alerting other drivers on the roadway to potential danger stemming from the detected predetermined physiological state. ### Claim 7 (depends on 1) The system of claim 1, wherein the system is embodied in a mobile device that is one of carried and worn by the human and the one or more sensors are one of integral with the mobile device and separate from the mobile device. ### Claim 8 (depends on 7) The system of claim 7, wherein the action includes one or more of: notifying the human regarding the detected predetermined physiological state; notifying the human regarding a symptomatic illness of the human based on the detected predetermined physiological state; advising the human regarding mitigation of the detected physiological state; and communicating with one of a person associated with the human and an artificial-intelligence (AI) system to obtain help for the human. ### Claim 9 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. ### Claim 10 (depends on 9) The non-transitory computer-readable medium of claim 9, wherein the instructions include further instructions that, when executed by the processor, cause the processor to compare the detected predetermined physiological state with one of a self-report questionnaire of the human and event timestamps captured by one or more environmental sensors in an environment of the human to adjust one or more thresholds of a change point detection algorithm. ### Claim 11 (depends on 9) The non-transitory computer-readable medium of claim 9, wherein the human is a driver of a vehicle equipped with a system that includes the non-transitory computer-readable medium. ### Claim 12 (depends on 11) The non-transitory computer-readable medium of claim 11, wherein the action includes one or more of: notifying the human regarding the detected predetermined physiological state; notifying the human regarding a potentially unsafe driving condition stemming from the detected predetermined physiological state; notifying the human regarding a symptomatic illness of the human based on the detected predetermined physiological state; advising the human regarding mitigation of the detected physiological state; suggesting to the human that the human take an alternate route to a planned destination; communicating with one of a person associated with the human and an artificial-intelligence (AI) system to obtain help for the human; assuming at least partial control over operation of the vehicle to mitigate a potentially unsafe driving condition stemming from the detected predetermined physiological state; and alerting other drivers on the roadway to potential danger stemming from the detected predetermined physiological state. ### Claim 13 (depends on 9) The non-transitory computer-readable medium of claim 9, wherein the non-transitory computer-readable medium is part of a mobile device that is one of carried and worn by the human and the one or more sensors are one of integral with the mobile device and separate from the mobile device. ### Claim 14 (depends on 13) The non-transitory computer-readable medium of claim 13, wherein the action includes one or more of: notifying the human regarding the detected predetermined physiological state; notifying the human regarding a symptomatic illness of the human based on the detected predetermined physiological state; advising the human regarding mitigation of the detected physiological state; and communicating with one of a person associated with the human and an artificial-intelligence (AI) system to obtain help for the human. ### Claim 15 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. ### Claim 16 (depends on 15) The method of claim 15, further comprising: comparing the detected predetermined physiological state with one of a self-report questionnaire of the human and event timestamps captured by one or more environmental sensors in an environment of the human to adjust one or more thresholds of a change point detection algorithm. ### Claim 17 (depends on 15) The method of claim 15, wherein the human is a driver of a vehicle equipped with a system in which the method is implemented. ### Claim 18 (depends on 17) The method of claim 17, wherein the action includes one or more of: notifying the human regarding the detected predetermined physiological state; notifying the human regarding a potentially unsafe driving condition stemming from the detected predetermined physiological state; notifying the human regarding a symptomatic illness of the human based on the detected predetermined physiological state; advising the human regarding mitigation of the detected physiological state; suggesting to the human that the human take an alternate route to a planned destination; communicating with one of a person associated with the human and an artificial-intelligence (AI) system to obtain help for the human; assuming at least partial control over operation of the vehicle to mitigate a potentially unsafe driving condition stemming from the detected predetermined physiological state; and alerting other drivers on the roadway to potential danger stemming from the detected predetermined physiological state. ### Claim 19 (depends on 15) The method of claim 15, wherein the method is implemented in a mobile device that is one of carried and worn by the human and the one or more sensors are one of integral with the mobile device and separate from the mobile device. ### Claim 20 (depends on 19) The method of claim 19, wherein the action includes one or more of: notifying the human regarding the detected predetermined physiological state; notifying the human regarding a symptomatic illness of the human based on the detected predetermined physiological state; advising the human regarding mitigation of the detected physiological state; and communicating with one of a person associated with the human and an artificial-intelligence (AI) system to obtain help for the human.