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.

Biometric enabled virtual reality (VR) systems and methods are disclosed for detecting user intention(s) and modulating virtual avatar control based on the user intention(s) for creation of virtual avatar(s) or object(s) in holographic space, two-dimensional (2D) virtual space, or three-dimensional (3D) virtual space. A virtual representation of an intended motion of a user corresponding to an intention of muscle activation of the user is determined based on analysis of a biometric signal data of the user as collected by a biometric detection device. The virtual representation of the intended motion is used to modulate virtual avatar control or output to create at least one of a virtual avatar representing aspect(s) of the user or an object manipulated by the user in a holographic space, virtual 2D space, or virtual 3D space. The avatar or the object is created based on: (1) the biometric signal data of a user, or (2) user-specific specifications as provided by the user.

A mixed reality (MR) training system includes an identification algorithm (ML1) that identifies incidents of concern (IOCs) based on an incident report data set and related contextual data. Each IOC occurs in the data set with a frequency at least equal to a pre-determined threshold or the resulting consequence is at least equal to a different pre-determined threshold. The system also includes a prediction algorithm (ML2) configured to identify predicted changes in the frequency or contextual data of incidents, an experience generation algorithm (ML3) configured to generate an MR training experience based on IOCs identified by ML1 and the predictions of ML2. A fourth algorithm (ML4) tailors and optimizes MR generated training experiences based, in part, on (i) changes in the incident report data or contextual data or (ii) performance data or biometric response data received during or after a user's interaction with the MR training experience.

Provided is a computer-implemented method of determining exercise parameters, such as heart rate thresholds, endurance, maximum heart rate and lactate threshold. The method comprises fitting a continuous curve to heart rate data obtained over time from the onset of exercise, the curve comprising a plurality of components that meet at transition points that join the components. The exercise parameters are obtained from the curve fitting of the heart rate data. Also provided is a system for determining exercise parameters, in particular a computer-implemented system that determines exercise parameters using the disclosed method.

A stimulation device for guiding movement of at least part of a body, the device comprising: at least one body-fixed stimulator, configured to provide stimulus to the part of the body; at least one control unit in communication with the at least one body-fixed stimulator, the control unit configured to generate a control signal to control the at least one body-fixed stimulator. Embodiments of the device or system may be configured perform a method of guiding movement of at least part of a body comprising the steps of: comparing at least one parameter relating to a movement with at least one pre-defined criteria; generating a control signal from at least one control unit if the at least one parameter does not meet the pre-defined criteria; and providing a stimulus to the body in response to the control signal through at least one body-fixed stimulator to guide the movement.

An electromechanical device for rehabilitation includes pedals coupled to radially-adjustable couplings, an electric motor coupled to the pedals via the radially-adjustable couplings, and a control system including a processing device operatively coupled to the electric motor. The processing device configured to, responsive to a first trigger condition occurring, control the electric motor to operate in a passive mode by independently driving the radially-adjustable couplings rotationally coupled to the pedals. The processing device also configured to, responsive to a second trigger condition occurring, control the electric motor to operate in an active-assisted mode by measuring revolutions per minute of the radially-adjustable couplings, and cause the electric motor to drive the radially-adjustable couplings when the measured revolutions per minute satisfy a threshold condition, and responsive to a third trigger condition occurring, control the electric motor to operate in a resistive mode by providing resistance to rotation of the radially-adjustable couplings.

Apparatus and methods are described for setting rehabilitation goals for a patient, measuring patient movements, storing the movement data for later transfer to a computer, displaying progress indicators and inspirational messages based on progress towards goals, reporting movement, skin temperature and swelling data to a caregiver so that they monitor compliance and be aware of potential infection. The invention consolidates data from motion, temperature and swelling sensors placed on the patient with data received directly from the patient in response to questions displayed on a tablet computer screen, to create one or more representative values indicating the patient's current status. These representative values may include the patient's degree of compliance with their prescribed exercise and icing regimen; their degree of wellness based on their self-reported pain scale and sensed temperature and limb swelling; and their current level of physical activity as detected by the motion sensors.

EMG training systems, devices and methods are disclosed. In an approach, a computing device may receive a first input and a second input. The first input may be from an EMG device, such as the NeuroLife® sleeve provided by Battelle. A second input may be from a joint position capturing device. The computing device may create a mapping between the first input and the second input and then train a decoding algorithm based on the mapping. The decoding algorithm may be used to determine a position of the EMG device based on input received from the EMG device.

This application relates to the field of electronic technologies, and provides an action recognition method and apparatus, a terminal device, and a motion monitoring system. Characteristic extraction and action recognition are performed based on motion data collected by data collection apparatuses; a gait characteristic, a swing gesture characteristic, and an image action characteristic of a user are recognized by using a plurality of pieces of motion data; and a type of a hitting action of a player is determined based on the gait characteristic, the swing gesture characteristic, and the image action characteristic. In this way, the hitting action of the player in a motion process can be accurately recognized. This is conducive to performing comprehensive analysis on a comprehensive sports capability of the player, and is more helpful to formulating a personalized training plan for the player.

An electrode array insertion tool, including an assembly configured to provide direct array insertion functionality and ancillary array insertion functionality to a user thereof. In an exemplary embodiment, the tool includes an extra-cochlea bone conduction actuator system, and the ancillary array insertion functionality is output of vibrations directly to the cochlea by the system.