A training, rehabilitation, and recovery system comprises an exercise apparatus including a user interface member coupled to a plurality of links and joints, brakes capable of resisting movement of at least a subset of the links or joints, and sensors capable of sensing movement at the joints or the user interface member. The system also includes a processor configured to receive from the sensors positional data of the links or joints over an initial movement of the apparatus by a user, from which positional coordinates of the user interface member are calculated and a reference trajectory is established. An end space is defined based on the reference trajectory. Over a subsequent movement of the apparatus by the user, the processor receives additional positional data and determines a completion of a repetition based on the positional coordinates of the subsequent movement and the defined end space.

An exercise machine monitoring and instruction system for the movement of an element of an exercise machine by an exerciser and providing automated feedback to the exerciser to help improve the exercise in real-time. The exercise machine monitoring and instruction system generally includes an exercise machine having a movable element that moves between a first position and a second position in a reciprocating manner, a sensor that detects a real-time position of the movable element, a processor in communication with the sensor to receive the real-time position data from the sensor related to a position of the movable element and a feedback device in communication with the processor that provides real-time instructions to the exerciser on how to adjust their workout to achieve a desired result.

A calorie estimation apparatus and method that analyze a user's skin spectrum to determine calories of food and drink that the user has ingested are provided. The calorie estimation apparatus includes a spectrum measurer configured to measure a skin spectrum of a user; and a processor configured to determine a noise of the measured skin spectrum, and estimate calories consumed by the user based on the determined noise.

Hand held weight units of light weight manufactured as a solid unit, a shell unit with core insert combinations or modular units with interlocking ends. Shell units with core inserts and modular interlocking units allow for the changing of held weight by inserting or removing inserts or by locking or unlocking of modular weight unit sets creating varying held weight. The weight units are primarily used with upper body exercises during aerobic exercises in the home, outdoors, or in a gym setting such as walking or running to vary the intensity of workout during use.

Hand held weight units of light weight manufactured as a solid unit, a shell unit with core insert combinations or modular units with interlocking ends. Shell units with core inserts and modular interlocking units allow for the changing of held weight by inserting or removing inserts or by locking or unlocking of modular weight unit sets creating varying held weight. The weight units are primarily used with upper body exercises during aerobic exercises in the home, outdoors, or in a gym setting such as walking or running to vary the intensity of workout during use.

The present disclosure generally relates to navigating, viewing, and sharing activity and workout data and interacting with workout and/or activity applications. In some examples, scrolling of activity data is based on the content being displayed. In some examples, friends' activity data may be viewed. In some examples, a notification and workout data for a friend's completed workout is received and displayed. In some example, the activity data received from friends is viewed and managed. In some examples, workout data for a multi-segment workout is displayed in a three-dimensional stack on a map. In some examples, a workout application operates in a limited mode until a touch input is received with a characteristic intensity that is greater than a threshold intensity.

A computer implemented method for predicting the oxygen uptake (% VO.sub.2Max) during an exercise of a user in proportion to the user's maximum oxygen uptake through a wearable device. The method comprising obtaining information from a user profile, capturing at least three temporal input data from a user during an exercise, using the information from a user profile and the at least three temporal input data to extract features to compose features vectors, identifying the exercise being performed by the user based on the feature vectors, selecting a predictor model to compute predictions for the % VO.sub.2Max from the user based on the exercise being performed, and predicting the % VO.sub.2Max from the user based on the selected predictor model.

An information processing device includes: a displacement information acquisition unit that acquires displacement information corresponding to 3-dimensional displacement of a predetermined portion of an object that a user mounts in accordance with a body motion on the basis of positional information of the predetermined portion and an output control unit that performs control such that an output unit performs a predetermined output on the basis of the acquired displacement information. The object has, for example, a seatback on which a user can sit. The displacement information acquisition unit acquires a change in a position in at least one of front and rear directions, right and left directions, or upward and downward directions of a seatback.

A system for reducing trauma in the head or neck of a living being caused by acceleration of the head relative to a torso of the living being within a range of motion. The system includes a support engaging at least one of the head, neck, and shoulder of the living being without limiting the range of motion of the head or neck relative to the torso; a sensor in electrical communication with the system; a user interface in electrical communication with the sensor; and a damper associated with the support that is configured to mitigate the position, speed or acceleration of the head relative to the torso in response to information received by the sensor or user interface.

The present disclosure provides an electronic apparatus. The electronic apparatus includes a sensor and a processor electrically connected to the sensor and configured to generate information indicating a start of an activity when first data indicating that an activity of the electronic apparatus occurs is received from the sensor and generate information indicating a start of an exercise when second data indicating that the activity is associated with the exercise is received from the sensor.