US 12,186,095 B2
Intelligent clothing for enhanced mobility
Kathryn Jane Zealand, Palo Alto, CA (US); and Elliott J. Rouse, Ann Arbor, MI (US)
Assigned to Skip Innovations, Inc., San Francisco, CA (US)
Filed by Skip Innovations, Inc., San Francisco, CA (US)
Filed on Sep. 18, 2020, as Appl. No. 17/025,037.
Claims priority of provisional application 62/903,119, filed on Sep. 20, 2019.
Prior Publication US 2021/0084997 A1, Mar. 25, 2021
Int. Cl. A61B 5/00 (2006.01); A41D 1/00 (2018.01); G01P 13/00 (2006.01); G06F 3/01 (2006.01); G06V 10/82 (2022.01); G06V 40/20 (2022.01)
CPC A61B 5/6804 (2013.01) [A41D 1/002 (2013.01); G01P 13/00 (2013.01); G06F 3/011 (2013.01); G06V 10/82 (2022.01); G06V 40/23 (2022.01); A41D 2400/38 (2013.01); A61H 2201/5058 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method, comprising:
detecting, by one or more sensors integrated with a garment having two or more controllable regions, movement of a particular body part of a user of a plurality of users, wherein the particular body part is a part of the user's body enclosed within the garment;
measuring, by the one or more sensors, data that indicates the detected movement of the particular body part of the user's body;
determining, based on the measured data and by one or more processors communicably connected to the sensors and integrated with the garment, an activity classification that indicates a future movement of the particular body part of the user's body, wherein:
the activity classification comprises inputting, to a machine learning model trained to classify the detected movement into an activity type, the measured data, and
the machine learning model is trained specifically for the user and movement characteristics of the user that includes at least one of: an amount of energy expenditure, an impact force, or a range of motion;
identifying, based on the determined activity classification that indicates the future movement of the particular body part of the user's body and by the one or more processors, a support configuration of the garment; and
dynamically adjusting, by the one or more processors, at least one of a tension and a stiffness of at least one of the two or more controllable regions of the garment to provide the identified support configuration of the garment.