The present invention provides a group monitoring device for monitoring a plurality of individuals engaged in an athletic activity, the device including a display configured to display, during an athletic activity: a metric relating to each of a plurality of individuals engaged in the athletic activity, and a status of a system component used to monitor the athletic activity. The group monitoring device may also include an input configured to allow manipulation of the display.

The invention relates to a method for evaluating usage data of at least one orthopaedic device which is equipped with sensors for detecting properties, states, or changes in properties or states, wherein the sensors are connected to a transmitter directly or via a storage device and the transmitter transmits the sensor data provided by the sensors to an evaluation unit in a computer network in which the sensor data is processed.

Disclosed are various embodiments of golf training device that helps a golfer learn and coordinate lower body positions and movements with upper body movements, using a series of feedback signals. In one embodiment, among others, a system comprises a foot sensor that attaches to a Lead Foot of a user. The foot sensor is configured to detect a heel of the Lead Foot being raised. The system also comprises a leg sensor that attaches to a Trail Leg of the user, and the leg sensor detects a bend in the Trail Leg of the user. The foot sensor is configured to detect the heel being lowered at an instance after the detection of the bend in the Trail Leg. The system further comprises a feedback device configured to activate one or more feedback indicators after the detections of foot and/or leg movements.

Described is a system for system for gait intervention and fall prevention. The system is incorporated into a body suit having a plurality of distributed sensors and a vestibulo-muscular biostim array. The sensors are operable for providing biosensor data to the analytics module, while the vestibulo-muscular biostim array includes a plurality of distributed effectors. The analytics module is connected with the body suit and sensors and is operable for receiving biosensor data and analyzing a particular user's gait and predicting falls. Finally, a closed-loop biostim control module is included for activating the vestibulo-muscular biostim array to compensate for a risk of a predicted fall.

Embodiments disclosed include a system and method for development of core muscles' support, comprising a means for identifying a user qualifying movement, a means for detecting a core muscle contraction in the identified qualifying movement, a means for discriminating between a core muscle contraction and no core muscle contraction in the identified qualifying movement; and a means to provide feedback to the user.

The present invention relates to an apparatus for measuring the balance ability; postural deviation, reflex and fall risk assessment of a human subject. In particular, the present invention comprises of an elastic support mounted platform with dynamic response to external motion stimuli, a IMU and data analysis software processing device. The dynamic response from the platform also simulates realistic experience in moving over rough terrain with different topography.

A system (10) and method to identify motion artifacts. Measurements of a physiological parameter of an associated patient are received from a probe (12) positioned on or proximate to the associated patient. Further, measurements of acceleration are received from an accelerometer (26) positioned on, proximate to, or integrated with the probe (12). Measurements of the physiological parameter are labeled based on the measured acceleration, such as being with or without motion.

Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.

A system or method for motor rehabilitation of a paretic limb including: a first plurality of sensors for registering brain neurosignals; a body-actuator; a hybrid brain machine interface for decoding brain neurosignals into movements of the body-actuator; a second plurality of EMG sensors couplable to the paretic limb for registering its EMG activity; a device for providing the patient with instructions relative to a series of exercises and/or tasks to be carried out with the paretic limb;
wherein upon carrying out a series of training sessions, each session comprising at least a set of such instructions, the hybrid brain machine interface is configured to switch between controlling the movements of the body-actuator based on the decoded brain neurosignals and a hybrid control of the movements of the body-actuator, when a significant level of decodable EMG activity has been registered, the hybrid control being an EMG-gated brain control.

A system and method for human motion detection and tracking are disclosed. In one embodiment, an optical sensing instrument monitors a stage. A memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures a depth frame from the optical sensing instrument. The depth frame may include at each image element first coordinate values including a point related to a distance from the optical sensing instrument. The depth frame is converted into a designated depth frame format, which includes at each image element second coordinate values relative to the depth frame. Probability distribution models are applied to the designated depth frame format to identify a respective plurality of body parts. The position of each of the respective plurality of body parts in the designated depth frame is calculated as is the position of each of the plurality of body parts in the depth frame.