Systems and methods for screening a subject for neuropathology associated with a condition. The method can include providing neurophysiological stimuli to the subject, measuring response by the subject to the neurophysiological stimuli, comparing the measured responses to a reference, determining whether the subject demonstrates abnormal or changed responses to the neurophysiological stimuli according to whether the measured responses differ from the individual's baseline or from the reference by one or more thresholds, and providing an alert according to whether the subject has abnormal or changed responses to the neurophysiological stimuli, wherein the alert comprises an intervention associated with the condition.

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.

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.

A device for monitoring and preventing slump and a processing method thereof is disclosed. The device includes: an alarm module, a signal collection module, and a signal processing module, wherein the signal collection module is used for collecting human-body posture behavior data and biometrics data; the signal processing module includes a slump detection unit configured to perform analysis processing according to the human-body posture behavior data and biometrics data to judge a state of the human body, and output a help signal to the alarm module when judging that a slump occurs to the human body; and the alarm module generates and outputs help message according to the help signal. The device and method perform slump detection through the human-body posture behavior data and biometrics data, thus the behavior characteristics of the human body are considered effectively, and higher accuracy is achieved.

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 article of footwear includes a motorized tensioning system, sensors, and a gesture control system. Based on information received from one or more sensors the gesture control system may detect a prompting gesture and enters an armed mode for receiving further instructions. In the armed mode the system may detect a variety of different control gestures that correspond to different tensioning commands.

Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

The present application provides a wearable technology for enhancing kinesthetic performance. In some variants, a method and system thereof comprises circuitry detecting and responding to a signal of initialization from a human who is wearing a haptic garment by energizing haptic actuators adjacent separate respective body parts.

A training apparatus includes a fixed frame, a training rod, a motor, rotation information detection sensor, tilt angle and position difference calculation units, determination, motor drive and position difference eliminating units. The training rod is supported by the fixed frame in a manner capable of being tilted by a motor about at least an X-axis or a Y-axis so as to hold the limb. The tilt angle calculation unit calculates a tilt angle of the training rod. The position difference calculation unit calculates a position difference. The determination unit obtains the position difference every time when a second time period elapses. If the position difference generated in the second time period is a first threshold or lower, the motor drive unit drives the motor so that the position difference is accumulated and maintained. The position difference eliminating unit resets the position difference at a predetermined timing.

A method and apparatus are for determining a medical biomarker indicative of a neurodegenerative disease. The method includes receiving motion data from a sensor held or mounted for rotation with a body part of the user during a repeated rotational motion of the body part. The motion data are provided relative to a frame of reference associated with the sensor. The motion data are processed to identify orientation in the frame of reference associated with the sensor of primary, secondary, and tertiary axes of rotation for the motion of the body part of the user, each of the primary, secondary and tertiary axes being mutually perpendicular to one another. A medical biomarker is extracted by analysing the rotational motion of the body part of the user about the primary, secondary and tertiary axes.