An apparatus for natural torso and limbs tracking and feedback for electronic interaction with fall safety support. The apparatus comprises a body harness worn on the body of a user, a support structure designed to bear the weight of the user in the event of a stumble, trip, or fall, and a plurality of tethers attached at one end to the harness and at the other end to the support structure. One or more sensors are integrated into the system to measure aspects of the user's movement and used as input to control a computer system. In the event of stumble, trip, or fall, all of, or a portion of, the user's body weight is borne by the tethers as a safety mechanism to prevent injury. The system is designed to be used with virtual reality systems wherein the user's vision is blocked or obscured by a virtual reality visor.

An electronic device and a method for providing information thereof are provided. In an embodiment, the electronic device is configured to receive a user input for selecting an exercise through a user interface or a wireless communication circuit, select a guide image corresponding to the selected exercise, analyze the selected guide image, acquire a first image of a user through at least one camera at a first location, determine a second location for the electronic device based at least in part on the analyzed guide image and the acquired first image of the user, control at least one driver to move the electronic device based at least in part on the determined second location, acquire a second image of the user through the at least one camera after a movement of the electronic device, and generate a combined image by combining the selected guide image and the acquired second image of the user.

A fitness equipment control system is provided. The system includes a receiver and a mobile apparatus, and performs the operations: generating a first control signal based on a training course of a user; transmitting the first control signal to the receiver to make the receiver generates a signal which is readable by the fitness equipment according to the first control signal and transmit the readable signal to the fitness equipment; receiving at least one physiological signal from at least one of the wearable devices worn by the user; based on the training course and the at least one physiological signal, generating a second control signal; and when the second control signal is generated, transmitting the second control signal to the receiver, wherein the receiver generates a signal which is readable by the fitness equipment according to the second control signal and transmits it to the fitness equipment.

A program is presented to a user including a stream of content including a first auditory content and a first visual content related to the workout. A context state of the user participating in the workout is determined based on information from a sensor. A responsive content is selectively added based on the context state of the user to the stream of content in a manner that avoids conflict with the stream of content.

According to an embodiment, a device for recognizing a free weight training motion comprises a depth camera obtaining image information for measuring a user's body information before exercise and obtaining image information including a unique identifier attached to a piece of exercise equipment and motion of each joint of the user and a variation in body surface due to a motion of the body of the user doing exercise using the piece of exercise equipment, a sensor unit measuring a state of the piece of exercise equipment and recognizing the user, and a controller controlling the depth camera and the sensor unit and processing various pieces of information obtained by the depth camera and the sensor unit.

A personal training system assisted by artificial intelligence (AI) has a personal training device and a control device. The personal training device includes a jacket and pants, and houses sensors at positions corresponding to a user's main muscle groups for monitoring the user's movement posture and muscle activity of the main muscle groups. The control device has a data preprocessing unit for processing detected-signal data of the sensors, a training analysis device for executing an AI algorithm to conduct fatigue analysis of the user's movement based on the user profile and the detected-signal data, and to make training load recommendations. The personal training system can simultaneously monitor posture, muscle activity and muscle fatigue in real time during the exercise; and use the AI algorithm to evaluate exercise performance and provide real-time feedbacks to improve the exercise and training efficiency, and reduce the risk of injury.

A system and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions which uses data obtained while a person is engaged in simultaneously in a range of primary physical tasks combined with defined types of associative activity, such as listening, reading, speaking, mathematics, logic puzzles, navigation of a virtual environment, recall of past stimuli, etc. The data from the physical and associative activities are combined to generate a composite functioning score visualization indicating the relative functioning of areas aspects of neurological functioning; including those in which deficiencies may be present, which are early indicators of possible neurological conditions. Through algorithmic recommendations combined with expert and user input, a conditioning regimen targeting neurological aspects of interest paired with periodic testing allows the user to track their progress in these areas over time.

An apparatus for natural torso and limbs tracking and feedback for electronic interaction with fall safety support. The apparatus comprises a body harness worn on the body of a user, a support structure designed to bear the weight of the user in the event of a stumble, trip, or fall, and a plurality of tethers attached at one end to the harness and at the other end to the support structure. One or more sensors are integrated into the system to measure aspects of the user's movement and used as input to control a computer system. In the event of stumble, trip, or fall, all of, or a portion of, the user's body weight is borne by the tethers as a safety mechanism to prevent injury. The system is designed to be used with virtual reality systems wherein the user's vision is blocked or obscured by a virtual reality visor.

A method for monitoring a person performing a physical exercise based on a sequence of image frames showing an exercise activity of the person. The method includes extracting, based on the sequence of image frames, for each image frame a set of body key points using a neural network, the set of body key points being indicative of a posture of the person in the image frame; deriving, based on a subset of the body key points in each image frame, at least one characteristic parameter indicating a progression of a movement of the person; detecting a start loop condition by evaluating the time progression of the at least one characteristic parameter, said start loop condition indicating a transition from a start posture of the person to the movement of the person when performing the physical exercise, wherein a loop of exercising encompasses one single repetition of the physical exercise; detecting an end loop condition by evaluating the time progression of at least one of the characteristic parameters, said end loop condition indicating a transition from the movement of the person when performing the physical exercise to an intermediate posture, wherein, as a result, the start of the loop and the end of the loop are determined; and deriving the time period for a single loop of the physical exercise based on the start of the loop and the end of the loop and evaluating the time period.

A system and method for range of motion analysis while exercising, including methods for constructing user movement profiles based on repeated and typical user movements during exercises as are typical for an adult of a user's age, weight, etc., and capable of warning a user of unhealthy, unsafe, or anomalous movement patterns during exercise, using a balance trainer, range of motion analyzer, and a plurality of sensors in conjunction with an exercise device, in an effort to reduce health risks to users during exercise with an enhanced or mixed reality exercise device.