A hockey puck (1) comprising an accelerometer (101) arranged in a recess (5) of a puck body (3). The accelerometer (101) is configured to measure the acceleration of the hockey puck (1) in at least one direction in x-y-z coordinates. The hockey puck further comprises a power supply (25) and a control unit (109) configured to read sensor input from the accelerometer (101) and to provide a control unit output based on said sensor input.

A computer-implemented method for adapting a training program of a user, including: storing a database including measurement data of physical exercises the user has performed, the measurement data including at least one of heart activity measurement data and motion measurement data; receiving a user input to select a weekly template for the training program, the weekly template including a training schedule including a plurality of pre-programmed repeating exercises on the weekly template; receiving a user input indicating a repeating exercise the user indicates to perform outside the training program; acquiring, from the database on the basis of the user input indicating the repeating exercise, measurement data of past one or more physical exercises of the repeating exercise; determining, on the basis of the measurement data, a training effect of the past one or more physical exercises and determining at least one repeating physical exercise of the training schedule providing a training effect closest to the training effect of the past one or more physical exercises; adapting the training schedule by replacing the determined at least one repeating physical exercise of the training schedule with exercises of the repeating exercise the user indicates to perform outside the training program; and outputting, via a user interface, instructions for the user to follow the adapted training schedule.

A recognition method executed by a processor, includes: acquiring positional relation between a plurality of sensors each of which senses a distance to an object; provisionally classifying an orientation of the object relative to each individual sensor included in the sensors into one of a plurality of classifications based on sensing data acquired by the individual sensor; calculating likelihood of each combination corresponding to the positional relation between the sensors based on a result of provisional classification of the orientation of the object relative to the individual sensor; and classifying the orientation of the object corresponding to each individual sensor in accordance with the calculated likelihood of each combination.

A system and non-intrusive method for exercise posture detection are provided. The system includes a mat, at least one sensor matrix comprising one or more sensors and configured to generate an electrical signal upon making a contact by the user with the mat, a plurality of sensor lines, a plurality of power lines and a processing subsystem. The processing subsystem includes a data acquisition module configured to extract a first set of data, to extract a second set of data; a data processing module to process the first set of data and the second set of data, to concatenate the first set of data and the second set of data to get a final set of data, to compare the final set of data with a pre-defined set of posture data, to determine the posture of the at least one exercise.

A system for monitoring exercise activity in a gym environment includes an image-based monitoring arrangement, a storage device, and a replay device. The monitoring arrangement generates a time series of 3D representations of an individual, with each 3D representation defining a pose of the individual and comprising 3D positions of a plurality of predefined feature points of the individual. The storage device receives and stores an exercise sequence, which comprises at least part of the time series of 3D representations and corresponds to an exercise performed by the individual. The replay device retrieves the exercise sequence from the storage device, renders an animation of the individual when performing the exercise based on the exercise sequence, and provides the animation for display. The system enables a user to review the exercise at any desirable viewing angle and/or magnification.

Provided is a squat exercise system and a method for tracking squats performed that includes a bench component which functions as a landing for a user and a remote control system that controls operations performed by the squat exercise system and includes a remote control unit operating the squat exercise system, and a housing removably attached to an underside of the bench component that includes a power supply unit supplying power, a sensing device which senses a body part of the user when within a predetermined distance from the bench component and generates a signal, a processor/control unit that receives and processes the signal by the sensing device in communication therewith, and automatically tracks, in real-time a count of each successful squat completed and a total count thereof, and a notification unit in communication with the processing/control unit that generates a notification signal indicative of successful completion of a squat.

A scoring method executed by a processor, includes: acquiring sensor data obtained by measuring a competitor in a scoring competition; extracting joint information of the competitor, based on an analysis result of the sensor data; acquiring an evaluation item and an evaluation index that correspond to the joint information of the competitor, based on a rule in which a posture specified by a series of joint motions and joint angles, the evaluation item, and the evaluation index for performance evaluation are associated with each other; and evaluating a success or failure of a skill and a degree of perfection of the skill in a performance of the competitor, based on the analysis result, the evaluation item, and the evaluation index.

The present disclosure generally relates to managing user interfaces associated with physical activities. The user interface displays a scrollable list of affordances associated with physical activities. The affordances may contain physical activity and heart rate information. A user can launch a physical activity tracking function or an interface to change a workout metric using an affordance. Users can also control the music that is played in response to selecting a workout. Further, the interface can be used to compose a reply message to a received message that contains workout information. The interfaces can show a graph that includes heart data when the user's heart rate meets a heart rate alert criteria.

The present system (10) comprises a subject interface (22), a segmenter (12), a loosener (14), sensors (18), and computer processors (28). The segmenter is configured to selectively control gas flow through the subject interface to provide high amplitude pressure oscillations (44) during exhalation such that the high amplitude pressure oscillations aid cough productivity in the subject. The loosener controls gas flow through the subject interface to provide low amplitude pressure oscillations (43, 63) during inhalation (48, 68) and exhalation (49) such that the low amplitude pressure oscillations loosen respiratory secretions. The computer processors detect trigger events based on the output signals such that the one or more trigger events include a loosening trigger event and a segmenting trigger event (66); and responsive to detecting the loosening trigger event, control the loosener to provide the low amplitude pressure oscillations, and, responsive to detecting the segmenting trigger event, control the segmenter to provide the high amplitude pressure oscillations.

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.