US 12,321,169 B2
Optimizing a vehicle operating parameter based in part on a sensed emotional state of a rider
Charles Howard Cella, Pembroke, MA (US)
Assigned to STRONG FORCE TP PORTFOLIO 2022, LLC, Fort Lauderdale, FL (US)
Filed by STRONG FORCE TP PORTFOLIO 2022, LLC, Fort Lauderdale, FL (US)
Filed on Dec. 22, 2023, as Appl. No. 18/395,398.
Application 18/395,398 is a continuation of application No. 17/978,093, filed on Oct. 31, 2022, granted, now 12,235,641.
Application 17/978,093 is a continuation of application No. 16/887,547, filed on May 29, 2020, granted, now 11,694,288, issued on Jul. 4, 2023.
Application 16/887,547 is a continuation of application No. 16/694,733, filed on Nov. 25, 2019, granted, now 11,333,514, issued on May 17, 2022.
Application 16/694,733 is a continuation of application No. PCT/US2019/053857, filed on Sep. 30, 2019.
Claims priority of provisional application 62/739,335, filed on Sep. 30, 2018.
Prior Publication US 2024/0142972 A1, May 2, 2024
Int. Cl. G05D 1/00 (2024.01); B60W 40/08 (2012.01); G01C 21/34 (2006.01); G01C 21/36 (2006.01); G05B 13/02 (2006.01); G05D 1/224 (2024.01); G05D 1/225 (2024.01); G05D 1/226 (2024.01); G05D 1/227 (2024.01); G05D 1/228 (2024.01); G05D 1/229 (2024.01); G05D 1/24 (2024.01); G05D 1/646 (2024.01); G05D 1/69 (2024.01); G05D 1/692 (2024.01); G05D 1/81 (2024.01); G06F 40/40 (2020.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/086 (2023.01); G06N 20/00 (2019.01); G06Q 30/0208 (2023.01); G06Q 50/18 (2012.01); G06Q 50/40 (2024.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/59 (2022.01); G06V 20/64 (2022.01); G07C 5/00 (2006.01); G07C 5/02 (2006.01); G07C 5/08 (2006.01); G10L 15/16 (2006.01); G10L 25/63 (2013.01); G06N 3/02 (2006.01); G06Q 30/02 (2023.01); G06Q 50/00 (2012.01)
CPC G05D 1/0022 (2013.01) [B60W 40/08 (2013.01); G01C 21/3438 (2013.01); G01C 21/3461 (2013.01); G01C 21/3469 (2013.01); G01C 21/3617 (2013.01); G05B 13/027 (2013.01); G05D 1/0088 (2013.01); G05D 1/0212 (2013.01); G05D 1/0287 (2013.01); G05D 1/224 (2024.01); G05D 1/225 (2024.01); G05D 1/226 (2024.01); G05D 1/227 (2024.01); G05D 1/228 (2024.01); G05D 1/229 (2024.01); G05D 1/24 (2024.01); G05D 1/646 (2024.01); G05D 1/69 (2024.01); G05D 1/692 (2024.01); G05D 1/81 (2024.01); G06F 40/40 (2020.01); G06N 3/0418 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/086 (2013.01); G06N 20/00 (2019.01); G06Q 30/0208 (2013.01); G06Q 50/188 (2013.01); G06Q 50/40 (2024.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/59 (2022.01); G06V 20/597 (2022.01); G06V 20/64 (2022.01); G07C 5/006 (2013.01); G07C 5/008 (2013.01); G07C 5/02 (2013.01); G07C 5/08 (2013.01); G07C 5/0808 (2013.01); G07C 5/0816 (2013.01); G07C 5/0866 (2013.01); G07C 5/0891 (2013.01); G10L 15/16 (2013.01); G10L 25/63 (2013.01); B60W 2040/0881 (2013.01); G06N 3/02 (2013.01); G06Q 30/0281 (2013.01); G06Q 50/01 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A system for operating a vehicle based on a state of a rider, the system comprising:
an artificial intelligence system for processing a sensory input from a wearable device in the vehicle to determine the state of a rider in the vehicle and optimizing an operating parameter of the vehicle to improve the state of the rider, wherein the wearable device includes at least one of: a heart rate monitor, a skin temperature sensor, or a galvanic skin response sensor, and wherein the artificial intelligence system comprises:
a first neural network to detect the state of the rider through expert system-based processing of rider state indicative wearable sensor data of the wearable device, wherein the rider state indicative wearable sensor data is indicative of a current state of the rider and a predicted future state of the rider; and
a second neural network to optimize the operating parameter of the vehicle in response to the detected state indicative of the current state of the rider, wherein the second neural network optimizes the operating parameter of the vehicle based on a correlation between a vehicle operating state and the current state of the rider, wherein the operating parameter of the vehicle that is optimized affects at least one of: a route of the vehicle, in-vehicle audio content, driving speed of the vehicle, acceleration of the vehicle, deceleration of the vehicle, proximity to objects along the route, proximity to other vehicles along the route, temperature, lighting, seat position, or music volume, and wherein the operating parameter of the vehicle that is optimized is determined and adjusted to induce a desired state of the rider and to prevent the predicted future state of the rider.