# US 2025/0082240 A1 · Biosignal integration with vehicles and movement > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0082240 A1 - Document ID: US20250082240A1 - Status: Published application - Kind: A1 - Application number: 18/828,818 - Filed: 2024-09-09 - Published: 2025-03-13 - Earliest claimed: 2023-09-07 - Assignees: Neurovigil, Inc. - Applicants: Neurovigil, Inc. - Inventors: Philip Low - Web page: https://patentgrep.com/patent/US20250082240A1 ## CPC - A61B 5/18: for vehicle drivers {or machine operators} - A61B 5/1103: {Detecting muscular movement of the eye, e.g. eyelid movement} - A61B 5/165: {Evaluating the state of mind, e.g. depression, anxiety} - A61B 5/257: using adhesive means, e.g. adhesive pads or tapes - A61B 5/369: Electroencephalography [EEG] - A61B 5/374: Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves - A61B 5/4809: {Sleep detection, i.e. determining whether a subject is asleep or not} - A61B 5/6803: {Head-worn items, e.g. helmets, masks, headphones or goggles} - A61B 5/6893: {Cars} - A61B 5/7267: {involving training the classification device} - B60N 2/0022: {for sensing anthropometric parameters, e.g. heart rate or body temperature} - B60N 2/0252: {with relations between different adjustments, e.g. height of headrest following longitudinal position of seat} - B60N 2/026: {varying hardness or support of upholstery, e.g. for tuning seat comfort when driving curved roads} - B60N 2/0276: {reaction to emergency situations, e.g. crash} - B60N 2/806: movable or adjustable - B60Q 9/00: Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 {, e.g. haptic signalling} - B60W 40/08: related to drivers or passengers - B60W 50/0097: {Predicting future conditions} - B60W 50/14: Means for informing the driver, warning the driver or prompting a driver intervention - B60W 60/0016: {of the vehicle or its occupants} - B60W 60/0051: {from occupants to vehicle} - G06F 3/14: Digital output to display device {; Cooperation and interconnection of the display device with other functional units} - G06V 20/597: {Recognising the driver's state or behaviour, e.g. attention or drowsiness} - G10L 15/22: Procedures used during a speech recognition process, e.g. man-machine dialogue - H04N 7/183: {for receiving images from a single remote source} - H04W 4/40: for vehicles, e.g. vehicle-to-pedestrians [V2P] - H04W 4/80: Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication - A61B 2503/22: Motor vehicles operators, e.g. drivers, pilots, captains - B60H 1/00742: {by detection of the vehicle occupants' presence; by detection of conditions relating to the body of occupants, e.g. using radiant heat detectors} - B60W 2040/0818: {Inactivity or incapacity of driver} - B60W 2040/0872: {Driver physiology} - B60W 2540/221: Physiology, e.g. weight, heartbeat, health or special needs - B60W 2540/225: Direction of gaze - B60W 2540/229: Attention level, e.g. attentive to driving, reading or sleeping - B60W 2556/10: Historical data - B60W 2556/45: External transmission of data to or from the vehicle - G10L 2015/223: {Execution procedure of a spoken command} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - B60N: SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR - B60Q: ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL - B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - B60H: ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES ## Abstract The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control. ## Claims ### Claim 1 A vehicle comprising: a physiological data acquisition assembly that is configured to transmit one or more physiological signals of a subject sitting in the vehicle to a computing system; a vehicle computing system having a transceiver and is communicatively connected to the physiological data acquisition assembly, or a user device; a vehicle controller comprising of one or more processors and control circuits, wherein the vehicle controller is configured to autonomously control a plurality of vehicular components to execute one or more instructions, wherein the one or more instructions are determined based on the one or more physiological signals; and one or more sensors configured to detect presence of the subject, wherein the one or more sensors are further configured to detect a crash event of the vehicle. ### Claim 2 (depends on 1) The vehicle of claim 1, wherein one or more components of the physiological data acquisition assembly are embedded in a seat of the vehicle. ### Claim 3 (depends on 1) The vehicle of claim 1, wherein the physiological data acquisition assembly includes capacitively coupled electrodes or non-contact electrodes that are configured to measure a biosignal and to detect blinks or microsleep of the subject based on the biosignal. ### Claim 4 (depends on 1) The vehicle of claim 1, further comprising: a headrest of a seat of the vehicle, wherein the headrest includes a curved portion that extends from a supporting portion positioned behind a subject head when the subject is seated and extends towards a forehead or ear of the subject, and wherein the curved portion is adjustable in curvature or length. ### Claim 5 (depends on 1) The vehicle of claim 1, wherein the computing system includes the user device, the vehicle computing system, a pod computing system, a mobility-aid device computing system, or a cloud computing system. ### Claim 6 (depends on 1) The vehicle of claim 1, further comprising: a dashboard camera configured to capture a face or eyes of the subject and to transmit captured data to the computing system. ### Claim 7 (depends on 1) The vehicle of claim 1, further comprising: a projector communicatively connected to the vehicle computing system or the user device; or a vehicle display device communicatively connected to the vehicle computing system or the user device, wherein the vehicle display device or the projector is configured to display a communication-tree or a partial communication-tree. ### Claim 8 (depends on 1) The vehicle of claim 1, wherein the plurality of vehicular components include a vehicle brake system, a vehicle electronic throttle control system, a vehicle steering system, a vehicle gear system, a vehicle turn signal system, a vehicle heads-up display system, a vehicle digital instrument gauge cluster, a vehicle speaker system, a vehicle camera-based collision avoidance system, a vehicle radar-based proximity detection system, a vehicle lidar-based proximity detection system, or a vehicle sonar-based proximity detection system. ### Claim 9 (depends on 1) The vehicle of claim 1, wherein the vehicle is configured to receive, engage, and secure a mobility-aid device or a pod substantially close to a driver position. ### Claim 10 (depends on 1) The vehicle of claim 1, wherein the vehicle computing system, a pod computing system, and a mobility-aid device computing system are communicatively connected with each other and with the user device via a short-range connection. ### Claim 11 (depends on 1) The vehicle of claim 1, wherein the vehicle includes one or more latching elements configured to secure a connection with a pod or a mobility-aid device in response to a latching instruction. ### Claim 12 (depends on 1) The vehicle of claim 1, wherein the one or more sensors include an accelerometer sensor, a gyroscope sensor, a pressure sensor, or a door sensor. ### Claim 13 (depends on 1) The vehicle of claim 1, wherein the vehicle computing system is further configured to: access the one or more physiological signals of the subject; compute a set of features by using the one or more physiological signals for a given time interval, wherein the set of features comprises values that are derived from one or more frequency bands of the one or more physiological signals; detect at least an anomaly in the one or more physiological signals or the set of features by using an anomaly detection technique; detect a distress situation based at least in part by comparing a degree of the anomaly with a predefined threshold, wherein the distress situation corresponds to a health incident or a crash event; and trigger one or more actions based on the detection, wherein the one or more actions include activating a speech facilitation tool for the subject, transmitting an alert signal to emergency services, or adapting a vehicle control, and wherein adapting the vehicle control includes transitioning the vehicle to a self-driving mode or pulling over the vehicle to a side of a road. ### Claim 14 (depends on 13) The vehicle of claim 13, wherein the distress situation is further detected by: accessing, in real-time, sensor data of the vehicle or a user device; detecting a crash event based on the sensor data of the vehicle or the user device; generating one or more audio or visual cues for the subject; collecting physiological data for a specific time period after the one or more audio or visual cues are executed; and determining an extent to which the physiological data is deviated from baseline physiological data, wherein the baseline physiological data represents average or normalized values of the physiological data that was collected from the subject or from a plurality of subjects in response to the one or more audio or visual cues. ### Claim 15 (depends on 13) The vehicle of claim 13, wherein the health incident includes a stroke, an epileptic seizure, or a heart attack. ### Claim 16 (depends on 13) The vehicle of claim 13 wherein the vehicle computing system is further configured to: adapt one or more configurations of a passenger cabin based on the degree of the anomaly, wherein the one or more configurations include adjusting a firmness of a seat of the vehicle and adjusting an angle of the seat of the vehicle. ### Claim 17 (depends on 13) The vehicle of claim 13, wherein the vehicle computing system is further configured to: predict, based on the physiological data, an alertness level of the subject in real-time by using an alertness prediction model; determine that a condition is satisfied based at least in part by comparing the alertness level with one or more alertness thresholds; and trigger one or more actions based on determining that the condition is satisfied, wherein the one or more actions include engaging the subject, administering an assessment to the subject, or adapting a vehicle control, wherein adapting the vehicle control includes transitioning the vehicle to a self-driving mode, or pulling over the vehicle to a side of a road. ### Claim 18 (depends on 17) The vehicle of claim 17, wherein one or more components of the physiological data acquisition assembly are embedded in a driver seat of the vehicle. ### Claim 19 (depends on 17) The vehicle of claim 17, wherein the physiological data acquisition assembly is worn by the subject as a sensing patch. ### Claim 20 (depends on 17) The vehicle of claim 17, wherein the physiological data comprises one or more physiological signals, or one or more pre-processed physiological signals. ### Claim 21 (depends on 17) The vehicle of claim 17, wherein the one or more clusters of electrodes include electroencephalogram (EEG) electrodes, electromyography (EMG) electrodes, magnetoencephalography (MEG) electrodes, or electrooculogram (EOG) electrodes. ### Claim 22 (depends on 17) The vehicle of claim 17, wherein the one or more actions for engaging the subject include lowering a temperature of passenger cabin, increasing a fan speed, increasing a cabin light, increasing an audio volume, generating a sound alarm, or generating seat vibrations. ### Claim 23 (depends on 17) The vehicle of claim 17, wherein the one or more alertness thresholds comprise a population-based threshold or a subject-specific threshold. ### Claim at position 24 24-30. (canceled)