A device or system including an assessment device with a body with a top surface ruled with a pattern to or instruct students in their parts during a physical position or movement between different positions, such as may be learned in a class or virtual class. The rulings include vertical lines and horizontal lines at various spaces, spacings, and intersections.

A breathing coach system and method is disclosed comprising a biometric device capable of measuring one or more biometric measurements of a user; an application executed on a processor on a wearable device monitoring said one or more biometric measurements coupled to said biometric device and notifying the user to perform a recommended breathing pattern to effect said one or more biometric measurement when one or more of said one or more biometric measurements is within a predetermined region.

The present disclosure relates to systems and methods for automatically assisting physical activities. The system may include a body condition monitoring unit, and an autonomous companion unit. The body condition monitoring unit may obtain body condition data of a user. The autonomous companion unit may be automatically move alongside the user and guide the user. The autonomous companion unit may include a transporting subunit, a plurality of sensors, and a controller subunit. The transporting subunit may be enable the movement of the autonomous companion unit. The plurality of sensors may obtain surroundings data associated with the autonomous companion unit. The controller subunit may control the transporting subunit to move the autonomous companion unit according to a target movement plan. The target movement plan may include a target route and a target speed profile, which are based on a preliminary movement plan, the surroundings data, and the body condition data.

An estimation method includes: transmitting transmission signals using M transmission antenna elements; receiving reception signals by N reception antenna elements; calculating, from the reception signals, a first matrix whose components are complex transfer functions indicating propagation characteristics between the transmission antenna elements and the reception antenna elements; estimating, using the first matrix, a position and an orientation of a living body relative to an estimation device; when the estimated position is in a first identification region and the estimated orientation is in a predetermined range from a first direction, identifying the living body based on time waveforms of the reception signals and a first training signal which is obtained in advance in the first identification region and corresponds to the living body; and adding, as an identification region for identifying the first living body identified, a new identification region based on an estimated position of the first living body identified.

The J-Sleeve System provides a system for collecting and analyzing data from the athletic performance of an athlete to provide feedback and advice on preferred movements to produce increased accuracy and efficient in the performance of the athlete and to improve understanding of the competitive landscape. Users would wear the J-sleeve on their arm during workouts, games, back yard skill sessions for which data is desired for analysis with JSS to improve efficiency and performance of user. JSS uses data and artificial intelligence to improve the efficiency of the athletes and their athletic performance. JSS capabilities include athletic movement form replay and accuracy, movement location tracking, fatigue level tracking, social sharing and competition, and a virtual clipboard for developing plays and positioning, and video game integration. The virtual clipboard allows users to draft optimal plays using data to determine the user with the best chance of success.

A method is provided that includes determining a quality of a data portion of an input sensor data stream based, at least in part, on data of a first data type and determining between, at least, generation of two or more streams of a second, different data type including at least one synthesised data stream of the second data type. Determining between generation of two or more streams of a second, different data type is based, at least in part, on the determined quality. The synthesis is based, at least in part, on the data of the first data type. The method further includes causing generation of at least one stream of the second, different data type based, at least in part, on the determination between generation of two or more streams of the second, different data type.

Systems and methods for providing a customized exercise protocol to a computing device of a user. As the user performs the exercise protocol, one or more cameras of the computing device can track the user's movements. The user's movement are assessed to determine if proper form and technique is being used.

The motion data monitoring method includes: collecting, by an electronic device, an angular velocity signal and an acceleration signal of a user; obtaining, by the electronic device, a waveform feature of the angular velocity signal based on the angular velocity signal, and obtaining a waveform feature of the acceleration signal based on the acceleration signal; determining, by the electronic device, a gait feature of the user according to the waveform feature of the angular velocity signal and the waveform feature of the acceleration signal, where the gait feature includes a duration of flight from off-ground of a foot of the user to touching of the ground; and determining, by the electronic device, motion data according to the gait feature, where the motion data includes a jump height.

A system for estimating maximum heart rate and maximal oxygen uptake from submaximal exercise intensities can include an exercise intensity monitor, a cardiopulmonary monitor, and one or more computers. The computers can be configured, by virtue of appropriate programming, to receive submaximal exercise intensity data from the exercise intensity monitor and submaximal cardiopulmonary data from the cardiopulmonary monitor while a user, who coupled to the exercise intensity monitor and the cardiopulmonary monitor, is performing an exercise at a submaximal exercise intensity. The one or more computers then determine a heuristic estimate of a maximal cardiopulmonary state of the user based on the submaximal exercise intensity data and the submaximal cardiopulmonary data.

Systems for detecting, locating and mitigating impact forces directed towards a person's head are described herein. The systems include devices for wearing on a wearer's head. The devices include a base configured to conform to the wearer's head and retain a plurality of pouches on an outer surface of the base. The plurality of pouches are configured to absorb at least a portion of the impact force directed towards the outer surface of the base, provide an indication when the impact force directed towards the outer surface of the base has a magnitude exceeding a concussion-indicating level of force, and provide a location of impact when the impact force directed towards the outer surface of the base has a magnitude exceeding the concussion-indicating level of force.