Portable devices and methods for preventing deep vein thrombosis (DVT) by assuring that the ankle is flexed and extended sufficiently to promote blood flow in the lower leg are disclosed. The device includes an actuator with a free movement mode that allows a patient to move freely between activations or to initiate movement to delay a next automatic activation.

An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

Method for coupling a sensor to a piece of equipment, such as a golf club, baseball bat, or tennis racket, that ensures that the sensor is in a known position and orientation relative to the equipment. Compensates and calibrates for degrees of freedom introduced in manufacturing and installation. The method may include manufacturing a sensor receiver that aligns with equipment in a fixed orientation, and that holds a sensor housing in a fixed orientation relative to the receiver. Remaining uncertainties in sensor position and orientation may be addressed using post-installation calibration. Calibration may include performing specific calibration movements with the equipment and analyzing the sensor data collected during these calibration movements.

In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.

A sensor device for exercise data tracking includes a mounting clip that can be coupled to an exercise apparatus. A housing with one or more sensor can be selectably coupled to the mounting clip. During use of the exercise apparatus, the sensor device can track exercise data and wirelessly provide the data to a receiver.

A system for analysis of user gait and to provide correction in form of haptic and visual feedback. This system comprises a motion and force sensors and a haptic actuator embedded in the user shoe insoles in communication with a smart-phone based analysis application, configured to calculate motion and orientation of the user feet in relation to the value, location and distribution of ground reaction forces measured by sensors located in the shoe insoles and after analysis of said forces and motion, to provide haptic feedback to the user foot instructing about the location (and timing) of pressure the user must apply to achieve an optimal gait.

Aspects of the present disclosure are directed toward apparatuses and methods for rendering haptic environments, such as may be used in rehabilitation. As may be implemented in accordance with one or more embodiments, haptic rehabilitative movement is effected by providing feedback signals characterizing sensed engagement of a user's lower extremity with a crank coupled to a shaft that is driven by a motor, and controlling movement of the crank in response to the feedback signals. Force may be provided by the motor and shaft, by applying control inputs to the motor that cause the motor and crank to render respective haptic environments while engaged with the user's lower extremity, via rotation of the shaft. The haptic environments may include one or both of impedance-based haptic environments and admittance-based haptic environments.

The systems and methods described herein are directed towards collecting and recording sensor data pertaining to physical contact experienced by players in a contact sport (e.g., football). The data can be collected and recorded through the use of one or more sensors worn by the player. In some cases, the sensor data can be associated with in-game video recordings of physical contact experienced by the players. Information about the physical contact can be displayed for users to view via a graphical user interface. Warnings may also be provided.

A system for measuring weight-lifting performance is described. The system comprises a collar that may be attached to a weight bar, wherein the collar comprises at least one motion sensor, at least one touch sensor, and a signal processor. The motion sensors comprise a barometric altimeter, a gyroscope, and/or an accelerometer that measure the motion of the weight bar during a lifting activity. Signals from the motion sensors are interpreted by the signal processor as physical activity data, which are then wirelessly transmitted to a multimedia device having a data processor. The data processor is configured to calculate performance metrics from the physical activity data and to display them to a user via a display on the multimedia device. Athletes may use the performance metric outputs from the data processor to monitor the form of their lifting exercises for training purposes, safety considerations, and self-improvement.

The present invention relates to training equipment for improving the ability of memory and cognition, and muscle power, and a training method using the training equipment. In particular, the present invention relates to training equipment for improving the ability of memory and cognition, and muscle power (upper and lower limb muscle power), the training equipment including: a lower limb muscle power exercise module that includes pedals for strengthening the muscle power of user's lower limbs and/or a handle for steering; a display that implements traveling in a virtual space for memory ability training of the user; and a training unit that improves cognition ability and/or muscle power of the user on the basis of driving data of the lower limb muscle power exercise module, thereby being able to complexly support memory ability training, lower limb muscle power exercise, and upper limb muscle power exercise of rehabilitation patients, patients with dementia, and/or patients with cognitive impairment.