VEHICLE SEAT WITH INTEGRATED SENSORS

• US 20160354027A1
• Filed: 02/20/2015
• Published: 12/08/2016
• Est. Priority Date: 02/20/2014
• Status: Active Grant

• Current Assignee: Faurecia Automotive Seating, LLC (Forvia SE)
• Original Assignee: Faurecia Automotive Seating, LLC (Forvia SE)
• Inventors: HAASE, Alexander S., MITCHELL, Claire, BENSON, Matthew K., LOWELL, Dana R., MONTGOMERY, Sean M., DEXTER, Brian R., BONK, Jeffery T., CUMMINGS, David L., BAUDU, Samuel, BOUSSETTA, Radouane, DRUBETSKOY, Pioter, DACOSTA-MALLET, Anne-Isabelle
• Granted Patent: US 9,848,814 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/333 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/6893 Cars
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61M 2021/0022 by the tactile sense, e.g. vibrations
• CPC Class Codes: A61M 2021/0066 with heating or cooling
• CPC Class Codes: A61M 21/02 : for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021
• CPC Class Codes: A61M 2205/3303 : Using a biosensor
• CPC Class Codes: B60N 2/002 : Seats provided with an occupancy detection means mounted therein or thereon detection means responsive to presence or absence of children B60N2/266
• CPC Class Codes: B60N 2/0022 : for sensing anthropometric parameters, e.g. heart rate or body temperature
• CPC Class Codes: B60N 2/0023 : for detection of driver fatigue
• CPC Class Codes: B60N 2/0024 : for identifying, categorising or investigation of the occupant or object on the seat
• CPC Class Codes: B60N 2/0033 : mounted on or in the foam cushion
• CPC Class Codes: B60N 2/0035 : characterised by the sensor data transmission, e.g. wired connections or wireless transmitters therefor; characterised by the sensor data processing, e.g. seat sensor signal amplification or electric circuits for providing seat sensor information
• CPC Class Codes: B60N 2/0244 : with logic circuits
• CPC Class Codes: B60N 2/0268 : using sensors or detectors for adapting the seat or seat part, e.g. to the position of an occupant
• CPC Class Codes: B60N 2/0273 : taking into account user data, e.g. knee height or physical state
• CPC Class Codes: B60N 2/0277 : characterised by the calculation method or calculation flow chart of sensor data for adjusting the seat
• CPC Class Codes: B60N 2/0278 : using sensors external to the seat for measurements in relation to the seat adjustment, e.g. for identifying the presence of obstacles or the appropriateness of the occupants position
• CPC Class Codes: B60N 2/5678 : characterised by electrical systems
• CPC Class Codes: B60N 2/976 : massaging systems
• CPC Class Codes: B60N 2210/22 : Optical; Photoelectric; Lidar [Light Detection and Ranging]
• CPC Class Codes: B60N 2210/24 : Cameras
• CPC Class Codes: B60N 2210/30 : Temperature sensors
• CPC Class Codes: B60N 2210/46 : Electric switches
• CPC Class Codes: B60N 2210/48 : Piezoelectric
• CPC Class Codes: B60N 2210/50 : Inertial sensors
• CPC Class Codes: B60N 2220/10 : using a database
• CPC Class Codes: B60N 2220/20 : using a deterministic algorithm
• CPC Class Codes: B60N 2230/30 : Signal processing of sensor data

Abstract

An occupant support system includes a vehicle seat and an electronics system for the vehicle seat. The electronics system includes a sensor system configured to obtain sensor data and a computer coupled to the sensor system to process the sensor data and perform a predetermined action using the sensor data.

Claims

1. An occupant support system comprising an electronics system for a vehicle seat, the electronics system comprising

a sensor system configured to obtain sensor data from an occupant of the seat, wherein the sensor system is configured to obtain at least a portion of the sensor data from the occupant through at least one impeding barrier, the sensor data comprising occupant data associated with the occupant of the seat and

a computer coupled to the sensor system, the computer comprising processing means for processing the sensor data including occupant data received from the occupant and configured to perform a predetermined action using the occupant data.

2. The occupant support system of claim 1, wherein the computer is further configured to calculate at least one of heart rate and respiration rate of the occupant using the occupant data before performing the predetermined action.

3. The occupant support system of claim 1, wherein the sensor system comprises a sensor coupled to the vehicle seat, configured to sense a physiological attribute of the occupant, and configured to provide at least a portion of the occupant data using the physiological attribute and wherein the sensor is located between a cushion of the seat and a trim layer of the seat, the sensor is further configured to sense the physiological attribute through the at least one impeding barrier comprising at least one of the trim layer and occupant'"'"'s clothing.

5. The occupant support system of claim 3, wherein the sensor is one of an electrocardiogram (ECG) sensor, a pulse oxymetry sensor, a ballistocardiogram (BCG) sensor, and a galvanic skin response sensor.

7. The occupant support system of claim 1, wherein the sensor system comprises

a first sensor coupled to the seat in a first location and configured to provide a first sensor signal and

a second sensor coupled to the seat in spaced-apart relation to the first sensor to provide a second sensor signal, the first and second sensors cooperate to sense at least one physiological attribute of the occupant through the at least one impeding barrier, and the first and second sensors are configured to communicate to the computer the first and second sensor signals,

wherein the computer is further configured to determine a reliability associated with each sensor signal, compare reliability of each sensor signal, and use one or more sensor signals having reliability greater than a predetermined value to provide at least the portion of the sensor data and

wherein the computer is further configured to compare the first and second sensor signals to provide derivative information included in the occupant data.

10. The occupant support system of claim 7, wherein the computer is further configured to determine a blood pressure of the occupant using the derivative information and wherein the derivative information comprises a pulse transit time.

12. The occupant support system of claim 1, wherein the sensor system comprises a first sensor coupled to the seat in a fixed position relative to the seat to sense a physiological attribute of the occupant through the at least one impeding barrier to provide a first sensor signal associated with the physiological attribute and the computer is further configured to receive occupant profile data associated with the occupant and combine the occupant profile data with the occupant data, and performing the predetermined action using the occupant data and the occupant profile data.

14. The occupant support system of claim 12, wherein the computer is configured to perform the predetermined action by determining an identity of the occupant using at least one of the occupant data and the occupant profile data.

16. The occupant support system of claim 12, wherein the computer is configured to perform the predetermined action by determining a driver capability assessment by analyzing respiration rate and processing rate changes over time.

18. The occupant support system of claim 12, wherein the computer is configured to perform the predetermined action by determining a driver stress level by analyzing heart rate variability.

20. The occupant support system of claim 12, wherein the computer is configured to perform the predetermined action by determining a health metric using at least one of the occupant data and the occupant profile data.

21. The occupant support system of claim 20, wherein the computer is configured to determine the health metric by calculating at least one of blood pressure, resting heart rate, and recovery time, the computer being further configured to receive factors including at least age, gender, weight, and combine the at least one of blood pressure, resting heart rate, and recovery time with factors to determine the health metric.

22. The occupant support system of claim 12, wherein the computer is configured to perform the predetermined action by determining a blood-flow metric by calculating blood volume data and using at least one of the occupant data and the occupant profile data.

24. The occupant support system of claim 12, wherein the computer is further configured to receive occupant profile data associated with the occupant, and to determine a baseline state associated with the occupant using the occupant profile data and wherein the computer is further configured to determine a current state of the occupant using the occupant data, compare the current state with the baseline state, and perform the predetermined action using the comparison of the current state and the baseline state.

26. The occupant support system of claim 24, wherein the computer is further configured to perform the predetermined action by adjusting occupant comfort via adjusting the seat to cause at least some of current state parameters to approximate at least some of baseline state parameters.

27. The occupant support system of claim 24, wherein the computer is further configured to perform the predetermined action by adjusting thermal comfort of the occupant by adjusting a thermal device in the seat to cause at least some of current state parameters to approximate at least some of baseline state parameters.

28. The occupant support system of claim 24, wherein the computer is further configured to perform the predetermined action by reducing stress parameters of the occupant by performing at least one of engaging a massage system coupled to the seat, adjusting an arrangement of the seat, and engaging a thermal device in the seat to cause at least some of current state parameters to approximate at least some of baseline state parameters.

29. The occupant support system of claim 24, wherein the computer is further configured to perform the predetermined action by increasing energy parameters of the occupant by performing at least one of engaging a massage system coupled to the seat, adjusting the seat to assume an upright arrangement, and engaging a thermal device included in the seat to adjust a seat temperature for the occupant.

30. The occupant support system of claim 1, wherein the computer is further configured to perform the predetermined action by determining a driver stress level by analyzing heart rate variability using occupant data and wherein the electronics system further includes a communication unit configured to transmit the driver stress level to a remote computer.

32. The occupant support system of claim 1, wherein the computer is further configured to perform the predetermined action by determining a driver stress level by analyzing heart rate variability using the occupant data and the sensor system further includes a location sensor configured to provide location data indicative of a location of the occupant and the computer is further configured to receive the location data and merge the location data with the occupant data to cause a location-related stress level of the occupant to be determined.

35. The occupant support system of claim 1, wherein the computer is further configured to determine physiological conditions of the occupant using the occupant data and store the physiological conditions over time to establish a collection of stored physiological conditions,

wherein the electronics system further includes a communication unit coupled to the computer to receive commands from the computer and configured to communicate the collection of stored physiological conditions to a remote computer, and

wherein the physiological conditions includes blood pressure and wherein the computer is further configured to calculate a trend over time of physiological conditions and determine if the trend of vital signs exceeds a predetermined threshold.

38. The occupant support system of claim 35, wherein the electronics system further includes a communication unit coupled to the computer to receive commands from the computer and configured to communicate the collection of physiological conditions to a remote computer when the computer determines the trend of physiological conditions exceeds a predetermined threshold.

45. The occupant support system of claim 1, further comprising one or more vehicle sensors coupled to the computer for producing one or more vehicle usage characteristic data, and wherein the computer is configured to process the sensor data including occupant data and vehicle usage characteristic data to perform the predetermined action and further comprising a communications device, coupled to the computer, wherein the computer is configured to transmit the occupant data via the communications device when the processed vehicle usage characteristic data determines a vehicle event has occurred.

4. (canceled)

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