A method for prediction of a head impact event mechanism via an instrumented mouthguard device comprises receiving, as input, time series data representative of a head impact event, wherein the time series data is derived from the instrumented mouthguard device. The instrumented mouthguard device includes one or more accelerometers. The method further comprises generating an array of spatial coordinates representing points on a computer head model, and processing the time series data to determine a direction of impact and location of impact relative to the computer head model.

A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device, One or more Inertial Measurement. Units (IMUS) are connected to the microprocessor and arranged on the wearable device. The IMUS are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.

A posture measurement apparatus and method is described. The posture measurement system includes a wearable sensor leader node comprising a UWB transceiver coupled to at least two antennas and one or more wearable sensor follower nodes each comprising a UWB transceiver coupled to one antenna. A first UWB signal is transmitted from the wearable sensor leader node to the one or more wearable follower sensor nodes. A second UWB signal is received by the wearable sensor leader node from each follower sensor node in response to receiving the first UWB signal. A time-of-flight value of a signal transmitted between the wearable leader sensor node and the wearable follower sensor node is determined from the first UWB signal and the second UWB signal. An angle of arrival value is determined from the second UWB signal. The body posture can be determined from the time-of-flight and angle-of-arrival value.

A system for monitoring muscle load, is configured to perform operations including: obtaining, from at least one sensor, measurement data on an exerciser; determining, based on the measurement data, a number of repetitions of a macroscopic movement performed during a physical exercise; determining, based on a conversion entry corresponding to a type of the physical exercise, muscle load coefficient of one or more muscles loaded in the physical exercise; utilizing the muscle load coefficient of the one or more muscles and the number of repetitions in determining muscle load data indicating muscle specific muscle load caused by the physical exercise performed by the exerciser; and outputting the muscle load data.

The present disclosure relates to force reading device. The products are multi-sensor, meaning they operate using two or more independent sensors, and communicate weight distribution and force data to the user in real time. The weight-lifter/user is notified by a visual aid via mobile app display and/or LCD screen and verbal feedback. Through real-time data feedback, the user is able to correct their form/balance as needed, in efforts to center their body weight and/or more evenly distribute their limbs. This in turn allows for the collection of data on how one may perform exercises and job tasks, and also offers a real-time solution for preventing injury and increasing exercise/job task functionality.

This invention is a system and method for the detecting and identifying concussive events as well as potentially harmful sub-concussive events. The scientific and technological basis of this invention is the loss of muscle tone associated with a concussive event, also similar to the loss of muscle tone during REM sleep or the dream sleep. In addition, the invention also helps to monitor, identify, and document repetitive, sub-concussive head impact events.

Methods and systems for multi-player training of body-eye coordination using mobile computing devices each having a camera are provided. The methods and systems execute instructions to capture a first training video of a first of player, using a first camera on a first mobile computing device; superimpose a visual cue onto the first training video at a visual cue location and for a cue period starting from a first time instant; determine whether the first player has responded to the visual cue at a second time instant within the cue period; receive a notification from a second mobile computing device, where the notification was generated in response to determining that a second player has responded to the visual cue at a third time instant within the cue period; and in response to a determination that the first player has responded to the visual cue and to the notification, generate a feedback to the first player.

To be capable of efficiently transmitting appropriate information on the motion improvement to a person in motion. A motion evaluation system includes a sensor unit, an information processing device, and an information presentation device. The information processing device includes a communication device, a storage device, and an arithmetic device. The arithmetic device acquires motion data acquired by observing a user through the use of a sensor via the communication device, checks the motion data against information about the correctness of motions in the reference information, determines a state of motion of the user, specifies a motion in a state to be improved as an improvement, check the motion data after the motion corresponding to the improvement against information about busy levels of the user to specify a busy level of the user, and outputs, as improvement suggestion information about the improvement, information with different contents at each of multiple times to an information presentation device based on the improvement and a rule predetermined according to each situation of the busy level.

From a first sensor in a set of sensors, a set of sensor measurements corresponding to a wearer of a garment is collected. Using a model and the set of sensor measurements, a performance deviation index corresponding to the wearer is determined, the performance deviation index corresponding to a deviation from a baseline performance level of the wearer. Responsive to the performance deviation index being above a threshold, a characteristic of the garment is altered.

Aspects relate to systems, methods, and apparatuses relating to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.