A system for rehabilitation includes an electronic device comprising a memory device for storing instructions, a network interface card, and a sensor. The system for rehabilitation further includes a processing device operatively coupled to the memory device, the network interface card, and the sensor. The processing device is configured to execute the instructions to determine a plurality of angles, wherein the plurality of angles comprises at least one of the following: angles of extension of a first body part of a user extended away from a second body part of the user at a joint, and angles of bend of the first body part retracting closer toward the second body part. The processing device is further configured to execute the instructions to transmit the plurality of angles to a computing device controlling an electromechanical device, via the network interface card.

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.

A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.

A wearable biosignal interface, an apparatus for operating an external device, and an operation method of a wearable biosignal interface are provided. A wearable biosignal interface may include a motion sensor configured to obtain a first signal based on a motion of a target, a biosignal sensor disposed on the target and configured to obtain a second signal from the target, and a determination controller configured to determine a validity of the second signal based on the first signal.

The invention determines an efficiency value (E) denoting preferably the relative period of muscle fiber activity during a recorded period of exercise, and a strength value (S) representing the number of muscle fibers recruited during a movement as part of the exercise or of a muscle contraction, and a temporal value (T) representing the frequency with which muscle fibers are activated repeatedly during exercise, and finally combines the efficiency value (E), the strength value (S) and the temporal value (T) by a linear combination to obtain an index value (ESTi) indicative of the fitness level of the individual. The obtained ESTi Score is useful for assessing the training level of an animal or human individual and the individual's potential for different types of sports and other activity. Also the effect of past training or diet can be assessed, and the possible need for changes in training or diet can be assessed.

A system for rehabilitation includes an electronic device comprising a memory device for storing instructions, a network interface card, and a sensor. The system for rehabilitation further includes a processing device operatively coupled to the memory device, the network interface card, and the sensor. The processing device is configured to execute the instructions to determine a plurality of angles, wherein the plurality of angles comprises at least one of the following: angles of extension of a first body part of a user extended away from a second body part of the user at a joint, and angles of bend of the first body part retracting closer toward the second body part. The processing device is further configured to execute the instructions to transmit the plurality of angles to a computing device controlling an electromechanical device, via the network interface card.

A flywheel measuring system includes a base, a flywheel, at least one permanent magnet, a magnetic core, an abutting member fixed on the base, a cantilever arm, and a signal generating apparatus. The flywheel is rotatably disposed on the base and is provided with at least one permanent magnet. The magnetic core is movably disposed on the base and is electromagnetically coupled to the at least one permanent magnet. The cantilever arm is disposed on the base. The signal generating apparatus is disposed on the cantilever arm. When the flywheel rotates, the at least one permanent magnet drives the magnetic core to move, and the magnetic core pushes the cantilever arm to approach the abutting member, so that the signal generating apparatus generates a strain and outputs a signal. The fitness equipment could calculate an output power when a rider pedals the pedal according to the signal.

A method for estimating power usage of a body in motion may include accessing location data associated with the body in motion, determining a trajectory of the body in motion based on the location data, encoding the trajectory, and estimating the power usage based on the encoded trajectory. The power usage may further be estimated based on one or more programmed features, which may include one or more of friction, wind resistance, potential energy, or kinetic energy. The method may further include estimating a second power usage of one or more second bodies in motion and estimating a competitive outcome based on the power usage and the second power usage.

A system targeted neurogenesis stimulated by aerobic exercise with virtual reality enhanced brain function specific tasks. A user may participate in virtual reality tasks that challenge specific brain functions has been developed. This system comprises a targeted neurogenesis virtual reality server, an aerobic exercise machine, input devices for interaction with the virtual reality environment, and a virtual reality display device. The targeted neurogenesis virtual reality server selects virtual reality interaction configurations specifically designed to repetitively challenge one of more brain functions while maintaining maximal user attention. The aerobic exercise machine promotes engagement in an exercise plan and monitors physiological data to maintain level of intensity within pre-programmed range.

Joint torque is estimated for a joint of a cyclist using a simple configuration.

A joint torque computation system (10) includes a joint torque computation device (12), a detection section (14), an input section (16), and an output section (18). The joint torque computation device (12) includes a data acquisition section (122), a torque estimation section (124), and a change estimation section (126). The joint torque computation device (12) employs load data representing load applied to a pedal, skeletal data, and structural data to compute a change of joint torque when a position of a saddle has been displaced, and to output the saddle position to the output section (18). The change estimation section (126) uses plural estimated joint torque changes to decide a saddle position enabling the cyclist to develop their maximum power.