A femoral region supporter (2) supports a femoral region of a user (1) in a travel direction. A force detector (3) detects force received by the femoral region supporter (2) from the femoral region of the user (1). A walking motion estimator (4) estimates walking motion of the user (1) based on the force detected by the force detector (3). The video generator (5) generates a video to be presented to the user (1) based on the walking motion estimated by the walking motion estimator (4). The video presenter (6) presents the video generated by the video generator (5) to the user (1).

A system and method for analyzing human body movements relevant for various sports is described. The system requires connecting a multiplicity of sensors at specified locations of the human body. The set of sensors may be distinct for different sports. Raw data is gathered from the sensors and processed to derive various informative parameters. The informative parameters are displayed to the pupil with descriptive feedback. The system also features communication of the raw data and informative parameters to external entities through a computer network. The communication to the external entities enables provision of comparative study of the pupil's progress with time and with respect to professionals in the sport. The pupil could also get expert feedback over the computer network.

A plurality of control sequences is stored. A user state is detected. A next control sequence associated with the user is selected from the plurality of control sequences based at least in part on the user state.

A system for a virtual and mixed-reality enhanced elliptical exercise trainer that allows a user to exercise while interacting with a virtual reality or mixed reality environment using whole body movements and positioning, and receiving haptic feedback associated with the user's interaction with the virtual reality or mixed reality environment, while on an elliptical exercise training machine.

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.

Ergonomics improvement systems having wearable sensors and related methods. An example ergonomics improvement system includes an encoder system to couple to a limb of a body. The encoder sensor system to generate first outputs in response to movement of the limb relative to the body to determine a position of the limb relative to the body. The system includes a load sensor to generate a second output representative of a load carried by the body and a position sensor to generate a third output representative of a position of a right foot of the body relative to a position of a left foot of the body.

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 secondary 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 secondary 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.

Proposed is an exercise support device operating with a weight training equipment. The exercise support device can extract an exercise object exercising on the weight training equipment connected presently to the exercise support device from a video captured by a camera module by analyzing the skeleton data of candidate objects. Through this, when the multiple candidate objects are detected in an exercise video, a user exercising on the weight training equipment which presently operates with the exercise support device can be accurately specified by using an exercise type and the skeleton data of the candidate objects.

The present invention relates to a fitness tracking method for workouts, including: a calibration step of setting local axes, based on the sensed data from a body sensor and an arm sensor; a workout readiness posture detection step of determining whether a workout readiness posture is taken, based on a first designated axis value for workout readiness posture detection; a workout parameter data derivation step of deriving workout parameter data, based on a second designated axis value for detecting the number of motions or whether a workout posture is maintained; and a workout end detection step of detecting the end of a workout, based on a third designated axis value for determining whether the corresponding workout is ended.

The disclosure provides a movement determination method, a movement determination device, and a computer-readable storage medium. The method includes the following. In response to determining that a user has presented an initial movement corresponding to a to-be-detected movement, an anchor joint point among multiple joint points of the user is decided based on the to-be-detected movement. A movable range of each of the anchor joint points is decided. In response to determining that each of the anchor joint points leaves the corresponding movable range, it is determined that the user has stopped performing the to-be-detected movement.