An electronic device and method for personalized fitness activity training using augmented-reality based avatar are provided. The electronic device receives a first set of images of a first user. The first set of images is captured for a duration in which the first user is engaged in a first fitness activity. The electronic device generates an augmented-reality display that includes a first avatar and an image of the first user based on the first set of images. The electronic device further controls a display device to render the generated augmented-reality display. The electronic device further determines posture information of the first user based on the first set of images. The electronic device determines real-time feedback based on application of a first neural network model on the determined posture information. The electronic device controls the first avatar to output the determined real-time feedback in the augmented-reality display.

A method may include obtaining sensor data from one or more activity sensors, each of the activity sensors being coupled to a respective area of a sports user. The method may include obtaining image data of the sports user and each of the activity sensors coupled to the sports user. The method may include identifying, by a machine learning module and based on the sensor data and the image data, a respective muscle associated with each respective area to which the activity sensors are coupled. The method may include identifying movement of the sports user based on the sensor data from the activity sensors and the identified body part. The method may include analyzing the identified movement of the sports user including evaluating a body posture of the sports user, identifying one or more movement patterns of the sports user, and/or performing an injury assessment for the sports user.

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.

Provided is a technique with which a batter who is practicing batting with a tee can acknowledge how the batter should change his/her hitting posture. An information processing device includes a processor that executes: (a) continuously measuring, according to either or both of output signals from a motion sensor and a force plate, a posture of a batter who is practicing batting with a tee; (b) determining, according to an output signal from a force sensor internally stored in the tee, a timing at which the batter hits a ball placed at the tee; (c) determining, as a hitting posture of the batter, a posture of the batter at the determined timing; and (d) outputting a message instructing the batter to change the batter's hitting posture, according to information indicating an exemplary hitting posture and information indicating the determined batter's hitting posture.

An exercise instruction apparatus for guiding a user to perform a fitness exercise includes a control unit and a display device. The control unit is configured to control a video imagery displayed by the display device. The video imagery shows an instructor image and a user image simultaneously. The instructor image demonstrates movements of the fitness exercise and the user image presented in a mirror image is a real-time image of the user standing in front of the display device. The control unit is configured to adjust at least one image parameters such as brightness, transparency or contrast of at least one of the instructor image and the user image. The image parameter that is adjusted for the instructor image may be a different parameter than the image parameter that is adjusted for the user image. The instructor image may be overlapped on the user image, and the user can adjust the transparency of at least one of the first image and the second image.

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.

The present disclosure is directed to a body-worn sensor-based system for evaluating the biomechanics and the motor adaptation characteristics of postural control during a sport activity such as a golf swing. Various embodiments use sensors such as accelerometers, gyroscopes, and magnetometers to measure the three-dimensional motion of ankle and hip joints. In several embodiments, additional sensors attached to other body segments are used to improve the accuracy of the data or detect particular instants during the swing (e.g., top of back swing, instant of the maximum speed of arm, and instant of ball impact). In a golf embodiment, the system combines the measured data in conjunction with a biomechanical model of the human body to: (1) estimate the two-dimensional sway of the golfer's center of mass; (2) quantify and evaluate the golfer's balance via his/her postural compensatory strategy; and (3) provide visual feedback to the golfer for improving dynamic postural control.

An electronic apparatus includes: a camera; a display; a memory; and a processor configured to: control the display to display a coaching image received from an external server and a user image obtained through the camera; identify a gaze direction of a user based on the obtained user image; based on the gaze direction of the user not being in a threshold range, obtain a feedback image including the coaching image and the user image based on posture information of a first object included in the coaching image and posture information of a second object included in the user image, and store the obtained feedback image in the memory; and control the display to display the stored feedback image.

Accordingly, embodiments herein disclose a method for providing real-time virtual feedback using an electronic device. The method includes receiving, by the electronic device, motion data of each segment in a multi-segment body part of a first user. Further, the method includes determining, by the electronic device, a posture information of each of the segment in the multi-segment body part based on the motion data of each of the segment in the multi-segment body part of the first user. Further, the method includes determining, by the electronic device, a degree of similarity between the posture information of each of the segment in the multi-segment body part of the first user and a posture information of each segment in a multi-segment body part of a second user. Further, the method includes providing, by the electronic device, a virtual feedback to the first user based on the degree of similarity.

The present invention discloses a running parameters detection system for treadmills and detection method thereof, wherein the system detects the running change data generated by a user running on a treadmill configured with a running belt, a motor and an electronic circuit device by means of a sensor, as well as the running belt operation speed data of the treadmill, in which the running change data is the current data or vertical acceleration data; subsequently, the running change data can be further applied to determine the touchdown moment recording point and the off-ground moment recording point, thereby then, based on such two time points, further calculating various kinematic parameters, e.g., touchdown time, in-the-air time, stride frequency, stride length and vertical amplitude or the like; for example, such five kinematic parameters can be utilized for scientifically monitoring and training runners.