An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

This system for identifying information represented by biological signals is configured so as to detect biological signals (S501), analyze the detected biological signals and then output feature data (S502), determine the respective similarities between the feature data and a plurality of teaching data (S503), store the similarities per time in a time series (S504), and determine information represented by the biological signals on the basis of the plurality of similarities within a prescribed period among the stored similarities in the time series (S505).

This system for identifying information represented by biological signals is configured so as to detect biological signals (S501), analyze the detected biological signals and then output feature data (S502), determine the respective similarities between the feature data and a plurality of teaching data (S503), store the similarities per time in a time series (S504), and determine information represented by the biological signals on the basis of the plurality of similarities within a prescribed period among the stored similarities in the time series (S505).

A method of evaluating core muscles by bioimpedance technology, includes the steps of: (a) measuring the resistance and reactance of a subject by a bioimpedance measuring instrument, and obtaining the subject's age, gender, and impedance factor (h2/Z), and (b) calculating the subject's core muscles by the following formula: BIA=a−b×age+c×h2/Z+d×Sex. Thereby, the present invention measures the cross-sectional area of the core muscles by means of bioimpedance analysis. The core muscles can be evaluated by the cross-sectional area of the core muscles, which can effectively reduce the measurement cost, reduce the measurement time and improve the convenience of measurement.

Embodiments disclosed herein relate to a garment system including at least one sensor and at least one actuator that operates responsive to sensing feedback from the at least one sensor to cause a flexible compression garment to selectively constrict or selectively dilate, thereby compressing or relieving compression against at least one body part of a subject. Such selective constriction or dilation can improve muscle functioning or joint functioning during use of motion-conducive equipment, such as an exercise bike or rowing machine.

A pelvic floor muscle training device includes a pelvic floor muscle training device, an intelligent terminal, a cloud server, a VR device, and one or more application programs. The user does Kegel exercise wearing the training device, with the help of the VR device and scene induction, synergistic or independently, thus enhancing pelvic floor muscle function.

An example method for providing enhanced event visualizations based on location data includes receiving, by a visualization processor, location data and sensor data for a plurality of participants; determining an impact indication for two or more participants of the plurality of participants based at least in part on the location data and sensor data; determining, by the visualization processor, a location of impact based on the impact indication and the location data and sensor data for the two or more participants; and generating an impact visualization interface configured to visually indicate impact data associated with the impact indication proximate the impact location.

A pelvic floor muscle training device and system include a pelvic floor muscle training device, an intelligent terminal, a cloud server, a VR device, and a few application programs. The user does Kegel exercise wearing the training device, with the help of the VR device and scene induction, synergistic or independently, thus enhancing pelvic floor muscle function.

Systems and methods relating to evaluating the performance of a person playing basketball are described. The systems and methods can be used to provide an evaluation sequence that can determine and evaluate the performance level of a person at one or more basketball skills. The evaluation sequence for the person can include a first sequence of actions that are the same each person being evaluated for a particular skill and a second sequence of actions that is based on the results of the first sequence and may be different for each person. Once the first and second sequences have been completed by the person, the system can determine a performance level for the person for the skills being evaluated.

A fitness mat includes a main body, a control device and a display screen. The display screen is provided at a surface of the main body, and the display screen is connected with the control device. The display screen provided at the main body of the fitness mat provided by the present disclosure can replace electronic devices such as a mobile phone and a tablet computer, etc. When a user uses the fitness mat to exercise, a fitness video that the user needs is displayed by the display screen. The versatility of the fitness mat is realized, so that the usage of the fitness is convenient for the user.