System for mechanically assisting rehabilitation of a patient. The system includes: a manipulator having at least five degrees of freedom and defining a free end; a limb support for supporting a limb of the patient, and secured relative to the free end of the manipulator; a force sensor operatively connected to the limb support to allow measuring input forces applied by the patient; and a processor communicatively connected to the force sensor, the manipulator, and a memory store which defines a scale factor. The processor is configured to control operation of the manipulator to move the limb support, and further configured so that responsive to receiving an input force measurement from the force sensor, the processor determines an applied force as a function of the input force and the scale factor.

A walking training device according to the present embodiment includes: a robot leg attached to one leg of a trainee; a treadmill; a load distribution sensor that detects a distribution of a load received from a sole of the trainee riding on the belt of the treadmill; and a walking state determination unit that determines whether the one leg has switched from a standing state to a swinging state based on a state of increase in a load detected by the load distribution sensor and received from another leg of the trainee performing walking training; and a control unit that starts bending control for the swinging state of the robot leg when the walking state determination unit determines that the one leg has switched from the standing state to the swinging state.

A method for tracking performance of player including determining global direction of magnetic field at first court and computing first court specific data; providing rotation for rotating apparatus about spin axis via player, wherein rotating apparatus comprising XYZ-magnetic field sensor; measuring plurality of magnetic field values as function of time when rotating apparatus is rotating about spin axis; computing magnetic field component of magnetic field in direction of local body co-ordinate of spin axis of rotating apparatus; determining direction of spin axis using computed magnetic field component of magnetic field and determined global direction of magnetic field; determining player specific data comprising angle of spin axis with respect to horizontal ground plane and angle of shot direction with respect to horizontal component of spin axis; and calibrating and storing first court specific data and player specific data to track performance of player at first court.

A method and a wearable device are provided. The method includes providing a swimming mode in the wearable device, and storing standard swimming stroke data that have been collected in advance as corresponding template data, when a monitoring process starts, activating the swimming mode according to an instruction given by a user who will immediately enter water, and after the swimming mode has been activated, controlling a sensor to collect swimming stroke data of the user; obtaining test data for identifying a swimming state of the user from the swimming stroke data; and matching the test data with each template data, when the test data successfully matches the template data, identifying the swimming state of the user to be the swimming state that corresponds to the template data.

A training apparatus is capable of generating and presenting a suitable training menu for finger exercise to maintain or improve a cognitive function and/or an exercise function of a human and supporting training of the human. The training apparatus includes a measuring apparatus and a terminal device. Analysis evaluating data based on measurement of the finger exercise including finger tapping is obtained, and the analysis evaluating data contains an evaluation value of an index item related to an exercise function of a user. A training menu for the user is generated based on the analysis evaluating data and contains a training item for the finger exercise. The index item includes at least one of an amount of exercise, endurance, rhythmicity, cooperativeness of both sides, or marker trackability. The training item includes an exercise to carry out the finger tapping in accordance with teaching information, stimulation, or a marker.

An electronic device for providing exercise information and a method therefor are provided. The electronic device includes a first sensor module, a second sensor module, at least one output device, and at least one processor. The at least one processor is configured to detect an event relating to start of an exercise state, obtain motion information corresponding to the exercise state using the first sensor module, obtain metabolite information of a user using the second sensor module, and provide information regarding the exercise state to the user through the at least one output device, based on whether the metabolite information satisfies a specified condition.

Systems, apparatus, and methods for training plan delivery and workout logging. In one embodiment of the present disclosure, a fitness tracking system and/or community of personal devices: (i) generates a training plan, (ii) schedules and coordinates delivery of workouts based on the training plan, and (iii) notifies the user of workouts via one or more wearables. In one exemplary embodiment, a fitness tracking system generates a training plan based on user workout history and/or user input. Thereafter, suggested workouts can be pushed to the user's community of personal devices, via a coordinating device (e.g., a smart phone). The coordinating device manages and controls workout notifications for any available coordinated devices (e.g., smart watches, smart shoes, etc.) Unlike previous systems, the disclosed embodiments of the present disclosure integrate a community of different personal devices together so as to capture activity tracking data regardless of what a user is wearing.

Systems and methods are disclosed for generating a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate 3D avatars.

A computer-implemented method for machine learning and prediction relating to exercise by a user during a bout of exercise may include providing a physical activity measurement device that includes at least one input and at least one output; providing a machine learning model; via the at least one input, collecting physiological data from the user; adding the physiological data acquired by the collecting to the user's physiological data set; training the machine learning model on the user's said physiological data set; making at least one prediction for the user based on the application of the machine learning model to at least one input during the bout of exercise, and communicating at least one prediction to the user via at least one output.

Motion sickness is reduced for users of mechanical systems used to practice sports that comprise an immersive virtual reality device. In particular, the use of prediction and interpolation algorithms enable fluid movements to be displayed within the virtual environment.