Abstract: Systems and methods for monitoring posture of a user wearing an exosuit are discussed herein. Exosuits worn by users can monitor several movement factors that characterize the user's movements and posture. The user's posture is identified and analyzed, and feedback is provided to the user based on the analyzed posture.

Abstract: Systems and methods for monitoring posture of a user wearing an exosuit are discussed herein. Exosuits worn by users can monitor several movement factors that characterize the user's movements and posture. The user's posture is identified and analyzed, and feedback is provided to the user based on the analyzed posture.

Abstract: Systems and methods for detecting and analyzing lifting and bending motions performed by a user wearing an exosuit are discussed herein. Exosuits worn by users can monitor several movement factors that characterize the user's bending and lifting movements. The bend or lift is identified and analyzed, and feedback is provided to the user based on the analysis of the bend or lift.

Abstract: A system and method for using performance signatures can include generating a set of performance features during an activity of the first participant by collecting kinematic data from at least one inertial measurement unit and generating a set of biomechanical signals; combining the set of performance features into the performance signature; generating at least a second performance signature from a set of participants; comparing the performance signature of the first participant to at least the second performance signature; and applying a result of the comparison to an interaction with at least one participant.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.

Abstract: A system and method for remote monitoring for elderly fall prediction, detection, and prevention that includes collecting sensor data at a biomechanical sensing device coupled to a user; performing biomechanical analysis on the sensor data and thereby generating mobility metrics of the user, wherein performing biomechanical analysis including quantifying a set of gait dynamics as a component of the mobility metrics and generating a user activity graph as a component of the mobility metrics; processing the mobility metrics in a risk assessment model and thereby generating a fall risk assessment; and detecting a trigger condition and triggering a response to the fall risk assessment.

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.

Abstract: A system and method for activity monitoring eyewear and head apparel can include collecting kinematic data from an activity monitoring system that is coupled to a user head region; generating a set of activity signals that comprises at least one head orientation signal that is at least partially generated from the kinematic data head orientation signal from the kinematic data; monitoring the set of activity signals for a response condition; and triggering an action response upon detection of the response condition.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.

Abstract: A system and method for ergonomic monitoring in an industrial environment that includes tracking task properties of tasks performed by a worker; for a set of tasks, tracking kinematic activity of a worker during each task instance, which includes collecting kinematic data, processing the kinematic data and generating at least one biomechanical measurement of a task associated kinematic activity; and generating an ergonomic model that associates task properties and kinematic activity.

Abstract: A system and method for addressing patient health through monitoring patient movement that includes, during a treatment stage, collecting kinematic data from at least one inertial measurement unit of an activity monitoring system; generating a set of biomechanical signals from the kinematic data wherein the set of biomechanical signals characterize at least one biomechanical property; updating a mobility quality score of the subject based on the set of biomechanical signals; and delivering a health assessment.

Abstract: A system and method for posture feedback can include collecting kinematic data by an activity monitoring device coupled to a user; calibrating the kinematic data to a base walking orientation of the activity monitoring device, which comprises: detecting a walking activity state through the kinematic data, and when a walking activity state is detected, generating the base walking orientation from kinematic data; setting a posture correction factor; measuring user posture with the calibrated kinematic data; triggering posture feedback based on the user posture adjusted by the posture correction factor.

Abstract: A system and method for using performance signatures can include generating a set of performance features during an activity of the first participant by collecting kinematic data from at least one inertial measurement unit and generating a set of biomechanical signals; combining the set of performance features into the performance signature; generating at least a second performance signature from a set of participants; comparing the performance signature of the first participant to at least the second performance signature; and applying a result of the comparison to an interaction with at least one participant.

Abstract: A system and method for tracking running activity that includes an activity monitor device with an inertial measurement system, a communication module, a processor configured to generate a set of biomechanical signals from kinematic data collected from the inertial measurement system, a housing that internally contains the inertial measurement system, the communication module, and the processor, and an electrical interface exposed on the external side of the housing; and a user application operable on a second computing device distinct from the activity monitor device; wherein communication and generation of biomechanical signals are operable in many modes.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.