Mad Apparel, Inc.

Christopher John Wiebe

Dhananja Pradhan Jayalath

Hamid Hameed Butt

James Artel Berg

Lev Korzinov

Rose Yao

Ankit Gordhandas

Gaston J MacMillan

Adnan Aslam

Daniel Blatnik

Chris Glaister

Seunghee Jang

An exercise feedback system determines muscle fatigue measurements using physiological data generated by a sensor-equipped athletic garment. The muscle fatigue measurement is determined by analyzing the frequency spread of the physiological data. The exercise feedback system may customize exercise programs, determine risks of injury, or generate biofeedback for presentation on graphical user interfaces using the muscle fatigue measurements. The exercise feedback system accesses pre-determined muscle fatigue measurement models that define criteria for the aforementioned features. For instance, if an athlete is becoming fatigued and exercising with improper form based on a muscle fatigue measurement, the exercise feedback system modifies the athlete's exercise program to help target and improve the athlete's weaknesses as well as to prevent injury.

Fatigue measurement in a sensor equipped garment

An exercise feedback system determines sensor data quality of an athletic garment based on bioimpedance data. The athletic garment includes sensors that can generate physiological data and bioimpedance data. An athlete wears the athletic garment while exercising. If the sensors have a stable contact with the skin of the athlete, the sensors generate high quality physiological data. However, if the sensors have unstable or no contact with the skin of the athlete, the sensors generate low quality physiological data. The exercise feedback system uses the magnitude and/or variance of the bioimpedance data to determine whether the physiological data is high or low quality. If the physiological data is high quality, the exercise feedback system may generate and provide feedback based on the physiological data for display to the athlete. The exercise feedback system may also use the bioimpedance data to identify defects in the garment during quality assurance tests.

Determining sensor data quality based on bioimpedance information

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

Training program customization using sensor-equipped athletic garments

Exercise biofeedback using sensor-equipped athletic garments

An exercise feedback system receives a first set of physiological data from a garment worn by a user and user information from a client device of the user, the first set of physiological data describing muscle activation of a plurality of muscles of the user while performing a calibration workout. The exercise feedback system determines a calibration value based at least in part on the first set of physiological data and the user information. When the exercise feedback system receives a second set of physiological data describing muscle activation of the plurality of muscles while performing a subsequent workout from the garment, the exercise feedback system modifies the calibration value based on the second set of physiological data. The exercise feedback system provides biofeedback generated based on the modified calibration value to the user via the client device.

Adaptive calibration for sensor-equipped athletic garments

The present application relates generally to computer software, mobile electronics, wireless communication links, and wearable monitoring systems. More specifically, techniques, systems, sensors, circuitry, algorithms and methods for wearable monitoring devices and associated exercise apparatus are described. A garment borne sensor system may acquire data on a user's performance during exercise, for example. The data may be analyzed in real time and feedback may be provided to the user based on the analysis. Analysis may be used to alter behavior of the user and/or an apparatus the user is engaged with during an activity, such as exercise, conditioning, therapy, etc. A piece of exercise equipment may be instrumented and in communication with the sensor system or other system and may be controlled in real time to adjust its settings to affect the user during the exercise routine. Communication between the sensor system and other systems may be wireless.

Wearable performance monitoring, analysis, and feedback systems and methods

An electrode system for sensing biometric signals from a body region of a user and a method of manufacture thereof, the electrode system comprising: a substrate comprising a reference region and a signal communication region, the signal communication region including a set of conductive leads; a set of biosensing contacts coupled to the set of conductive leads; a non-conductive region ensheathing each of the set of biosensing contacts, the non-conductive region including: a set of openings that expose at least a portion of each of the set of biosensing contacts for interfacing with the body region of the user, upon coupling of the electrode system to the user; a first bonding layer that couples the substrate to a fabric base; and a second bonding layer coupled to the first bonding, wherein the substrate is hermetically sealed between the first bonding layer and the second bonding layer.

Biometric electrode system and method of manufacture

A method for communicating beat parameters to a user includes: providing an electrode module comprising a first and a second set of electrodes, associated with a first and a second sensor channel, respectively; receiving a first and a second dataset based on a first and a second set of bioelectrical signals detected from the first and the second sensor channel, respectively; receiving a supplemental dataset based on supplemental bioelectrical signals detected from a supplemental sensor module; generating a noise-mitigated power spectrum upon: generating a combined dataset based upon combining the first and second datasets, calculating 1) a heart power spectrum based on the combined data set, and 2) a supplemental power spectrum based on the supplemental dataset, and generating a noise-mitigated power spectrum based on processing the heart power spectrum with the supplemental power spectrum; and rendering information derived from a beat parameter analysis to the user.

Method and system for measuring beat parameters

The present application relates generally to computer software, mobile electronics, wireless communication links, and wearable monitoring systems. More specifically, techniques, fabrics, materials, systems, sensors, EMG sensors, circuitry, algorithms and methods for wearable monitoring devices and associated exercise apparatus are described. A garment borne sensor system may generate data on a user's performance during exercise, for example, and the data may be analyzed in real time and feedback may be provided to the user based on the analysis. A piece of exercise equipment may be instrumented and in communication with the sensor system or other system and may be controlled in real time to adjust its settings to affect the user during the exercise routine. Communication between the sensor system and other systems may be wireless. Conductive structures formed directly in a fabric of the garment may integrally include sensors, circuitry, controllers, conductive traces, and sensor electronics.

Wearable architecture and methods for performance monitoring, analysis, and feedback

A system for monitoring biometric signals of a user comprising: a garment configured to be worn by the user and comprising a mounting module having an array of connection regions; a set of biometric sensors coupled to the garment and configured to communicate with the array of connection regions to receive and transmit biometric signals indicative of muscle activity of the user; and a portable control module configured to couple to the garment in a first configuration and to decouple from the garment in a second configuration and comprising: a housing comprising an array of openings; a set of contacts, each including a first region that hermetically seals at least one of the array of openings and couples to at least one of the array of connection regions in the first configuration, and an electronics subsystem coupled to the housing and in communication with a second region of each contact.

System and method for monitoring biometric signals

Electronic module

A system for monitoring biometric signals of a user comprising: a set of wireless sensor interfaces coupled to a garment, each of the wireless sensor interfaces comprising: 1) an electrode layer comprising a receiving region, 2) a positional identifier, associated with a position on the garment, and 3) a retention subsystem; a set of wireless sensor modules, each of the set of wireless sensor modules comprising: a contact region electrically coupleable to the receiving region of the electrode layer, a set of sensors configured to detect a set of biometric signal types, and a positional interrogator configured to identify the position associated with the corresponding wireless sensor interface; and a control module, communicatively coupled to the set of wireless sensor modules, wherein the control module queries a subset of the set of biometric signal types for transmission from each of the set of wireless sensor modules based on their positions.

Growing community of inventors

Burlingame, CA, United States of America

Christopher John Wiebe