Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A data storage service is provided in the cloud agnostically to any user account or identity through the use of data storage containers, which are accessed using unique identifiers and independently of any user-based context. The data storage service runs in a backend system and creates a data storage container along with a unique ID that identifies the data storage container from among multiple such containers. Once a cloud-based application receives the unique ID, the cloud-based application may itself assign the data storage container to any user, or to no user, in accordance with the cloud-based application's own programming.

Abstract: An exercise feedback system calibrates sensors of an athletic garment worn by an athlete while performing exercises. The sensors can record physiological data such as muscle activation. The system instructs the athlete to perform a calibration workout. The system generates a calibration value based on physiological data from the calibration workout and/or user information. The calibration value indicates, for example, the predicted maximum amplitude for the muscle activation of a particular muscle group (for example, glutes, hamstrings, or quadriceps) of the athlete. The system can update the calibration value over time as the system receives additional physiological data from subsequent exercises performed by the athlete. The system may determine a confidence level of the calibration value and may update the calibration value if the confidence level becomes too low. The system provides biofeedback to the athlete generated based on the calibration value.

Abstract: An exercise feedback system determines muscle stress measurements using physiological data generated by a sensor-equipped athletic garment. A muscle stress measurement represents an accumulated normalized signal from one or more of the sensors corresponding to a given muscle over a period of time. The exercise feedback system may customize exercise programs, determine risks of injury, or generate biofeedback for presentation on graphical user interfaces using the muscle stress measurements. In an embodiment, the exercise feedback system accesses pre-determined muscle stress measurement models that define criteria for the aforementioned features. For instance, responsive to determining that an athlete is becoming fatigued and exercising with improper form based on a muscle stress measurement, the exercise feedback system modifies the athlete's exercise program to help target and improve the athlete's weaknesses.

Abstract: An exercise feedback system determines muscle stress measurements using physiological data generated by a sensor-equipped athletic garment. A muscle stress measurement represents an accumulated normalized signal from one or more of the sensors corresponding to a given muscle over a period of time. The exercise feedback system may customize exercise programs, determine risks of injury, or generate biofeedback for presentation on graphical user interfaces using the muscle stress measurements. In an embodiment, the exercise feedback system accesses pre-determined muscle stress measurement models that define criteria for the aforementioned features. For instance, responsive to determining that an athlete is becoming fatigued and exercising with improper form based on a muscle stress measurement, the exercise feedback system modifies the athlete's exercise program to help target and improve the athlete's weaknesses.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An exercise feedback system calibrates sensors of an athletic garment worn by an athlete while performing exercises. The sensors can record physiological data such as muscle activation. The system instructs the athlete to perform a calibration workout. The system generates a calibration value based on physiological data from the calibration workout and/or user information. The calibration value indicates, for example, the predicted maximum amplitude for the muscle activation of a particular muscle group (for example, glutes, hamstrings, or quadriceps) of the athlete. The system can update the calibration value over time as the system receives additional physiological data from subsequent exercises performed by the athlete. The system may determine a confidence level of the calibration value and may update the calibration value if the confidence level becomes too low. The system provides biofeedback to the athlete generated based on the calibration value.

Abstract: 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.

Abstract: 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.

Abstract: A system for conducting signals from a set of biosensing contacts and manufacture method thereof, the system comprising: a flexible substrate including a first broad surface and a second broad surface opposing the first broad surface; a set of conductive leads coupled to the first broad surface of the flexible substrate, each of the set of conductive leads including a first region configured to couple to a biosensing contact; a first bonding layer coupled to the first broad surface of the flexible substrate and including a set of openings that expose the first regions of the set of conductive leads for coupling to the set of biosensing contacts; and a second bonding layer coupled to the second broad surface of the flexible substrate and configured to couple the flexible substrate to the garment.

Abstract: 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.