Systems and methods and media for managing biomechanical achievements are provided. An exosuit or any other suitable sensor assembly worn by a user can be utilized by a system to monitor several movement factors that may characterize the user's movement and any changes in the user's movement with a high degree of specificity that may enable various system algorithms and/or models to predict or otherwise determine one or more biomechanical achievements of the user, such as recovery from a particular type of event (e.g., surgery or therapy procedure) and/or distance traveled (e.g., without using any global positioning system capabilities). In addition, an exosuit can provide useful feedback in response to such determinations.
System And Method For Automatic Location Detection For Wearable Sensors
- Mountain View CA, US Ray Franklin Cowan - Mountain View CA, US Daniel Le Ly - Mountain View CA, US
International Classification:
A63B 24/00 G06N 99/00
Abstract:
A system and method for automatic location detection for wearable sensors can include collecting kinematic data from at least one kinematic activity sensor coupled to a user; generating a set of base kinematic metrics; assessing a set of sensor state discriminators and identifying a kinematic monitoring mode; and activating the kinematic monitoring mode at a kinematic activity sensor.
System And Method For Personalized Exercise Training And Coaching
- Mountain View CA, US Chung-Che Charles Wang - Palo Alto CA, US Daniel Le Ly - Mountain View CA, US Ray Franklin Cowan - Mountain View CA, US Rebecca Shultz - Mountain View CA, US Samir Akre - Santa Clara CA, US
International Classification:
A63B 24/00 A63B 71/06
Abstract:
A system and method that includes collecting kinematic data at an activity monitoring system coupled to a user; selecting a training activity of the user, the training activity selected from a plurality of training activity options; and processing the kinematic data in a processing mode of the selected training activity and thereby generating a set of training metrics that comprises at least one training metric.
System And Method For Sensing And Responding To Fatigue During A Physical Activity
- Mountain View CA, US Andreas Martin Hauenstein - San Mateo CA, US Daniel Ly - Mountain View CA, US Ray Franklin Cowan - Mountain View CA, US Rebecca Shultz - Mountain View CA, US
International Classification:
A61B 5/11 A61B 5/00
Abstract:
A system and method for utilizing an activity monitoring device that includes, during a set of initial activity sessions, collecting the kinematic data from an activity monitoring device and generating a temporal record of at least one biomechanical signal that is calculated from the kinematic data; analyzing temporal changes in the biomechanical signals during the initial activity sessions and characterizing a fatigue model; and, during a subsequent activity session collecting current kinematic data of a participant and generating at least one current biomechanical signal from the current kinematic data, monitoring the fatigue state through processing the at least one current biomechanical signal according to the fatigue model, and triggering feedback in a user interface based on the fatigue state.