Controlling an exercise machine includes receiving a stream of measurements of extension of a component of an exercise machine. It further includes characterizing the stream of measurements including detecting at least one extremum having at least one extremum parameter. It further includes matching the extremum parameter with a previously determined signature associated with a user. It further includes changing an output of the exercise machine based at least in part on the match.

Controlling an exercise machine includes receiving a stream of measurements of extension of a component of an exercise machine. It further includes detecting a first phase of a repeated motion. It further includes detecting a transition to a second phase of the repeated motion. A time constraint is applied to the detection of the transition to the second phase of the repeated motion. It further includes controlling a resistance associated with the second phase of the repeated motion.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

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.

A method and system for monitoring physiological movements and providing feedback to increase a user's kinesthetic awareness utilizes a kinesthetic awareness tool that includes a plurality of sensors, a processing unit, and a plurality of feedback devices. The plurality of sensors is used to gather data as a set of reference data and in real-time as a user engages in a training session. The plurality of sensors may include an accelerometer, gyroscope, magnetometer, and ultrasonic range finder. Data obtained during the training session is processed in real-time by the processing unit and compared to the set of reference data. The processing device may then instruct one or more of the plurality of feedback devices to produce a response signal to guide the user to the correct position. The plurality of feedback devices may be configured to provide acoustic, visual, haptic, or kinetic feedback.

A method of monitoring at least one person in an event, comprises providing at least one sensor associated with the person, measuring data using the at least one sensor, wherein the measured data includes data representative of a motion of at least one part of the person's body, the method further comprising, by a processing unit based at least on said data, determining at least one insight, wherein said insight is characteristic of at least one of (a) an action performed by the person in the event and (b) an event situation, thereby facilitating characterization of at least one of the person and the event.

Exosuits that use core grip members are described herein. Core grip members apply forces in a radially inward manner from the exterior of the body to the interior of the body to provide support to the user and to serve as a platform for mounting power layer segments.

Fitness tracking devices and methods of operating the same. The fitness tracking device includes a sensor circuit to generate sensor data; a processor coupled to the sensor circuit; and a memory coupled to the processor and storing processor-executable instructions that, when executed, configure the processor to: buffer sensor data associated with motion of the user limb; generate an exercise prediction based on a prediction model and the sensor data, the prediction model defined by one or more oscillating signal profiles to identify genus predictions for respective limb movement types about at least one sensor axis, wherein the exercise prediction is generated based on a combination of an identified genus prediction associated with the generated sensor data and environment data associated with motion of the user limb; and transmit a signal representing the exercise prediction for display on a user interface.

A device includes a signaling means and a motion sensor, and logic for activating or controlling the signaling means in response to a sensed motion according to an embedded logic. The device may be used as a toy, and may be shaped like a play ball or as a handheld unit. It may be powered from a battery, either chargeable from an AC power source directly or contactless by using induction or by converting electrical energy from harvested kinetic energy. The embedded logic may activate or control the signaling means, predictably or randomly, in response to sensed acceleration magnitude or direction, such as sensing the crossing of a preset threshold or sensing the peak value. The visual means may be a numeric display for displaying a value associated with the count of the number of times the threshold has been exceeded or the peak magnitude of the acceleration sensed.

A system for motion analysis includes a sensing device positioned at a knee joint of a bicycle rider, and an electronic device in communication with the sensing device. The electronic device is configured to receive, from the sensing device, a series of pieces of sensed data representing orientations of the sensing device at different times, to determine a motion trajectory of a knee of the rider based on the received pieces of sensed data, and to generate an estimation result regarding correctness of a riding posture of the rider based on the motion trajectory.