The sensor information acquisition unit acquires an angular velocity around an axis of a shaft portion of an exercise instrument from a sensor unit. An exercise analysis unit detects a timing of an impact of the exercise instrument. A calculation unit calculates a distance between a standard position set on a hitting surface of the exercise instrument and a position of the hitting based on the angular velocity at the time of an impact.

A user interface for an interactive exercise system includes a display module held by a mechanical support system, with the display module able to display a video of a trainer. The trainer can be presented in full body view against a black background and a mirror element attached to at least partially cover the display module.

The present disclosure relates to a device, method and system for estimating or monitoring the health condition of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. At least one physiological signal or information including a physiological signal of a subject may be received. At least one physiological parameter of interest may be generated based on the physiological signal. The physiological parameter of interest may be analyzed according to an analysis model. A physiological result may be generated. A recommendation may be provided based on the physiological analysis result.

A method is disclosed including receiving from a user a request to associate an avatar in a computer-implemented virtual world with a wearable device, creating an association between the avatar and the wearable device in response to the request, and receiving from the wearable device activity metric data for the user generated by a sensor of the wearable device. The activity metric data is generated by the wearable device in response to the wearable device sensing the user performing an activity. The method further including determining based on the received activity metric data a type of the sensed activity, determining at least one attribute of the avatar that corresponds to the determined type of the activity, determining an amount to adjust the at least one attribute based on the received activity metric data, and adjusting the determined at least one attribute of the avatar by the determined amount.

The present disclosure relates to a device, method and system for estimating or monitoring the health condition of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. At least one physiological signal or information including a physiological signal of a subject may be received. At least one physiological parameter of interest may be generated based on the physiological signal. The physiological parameter of interest may be analyzed according to an analysis model. A physiological result may be generated. A recommendation may be provided based on the physiological analysis result.

A system and method for analyzing and improving the performance of a body motion, which requires receiving, by a CPU, sensor data from sensors worn by a user; storing the transmitted sensor data in a data buffer; recognizing that a motion gesture occurred based on a signature of acceleration data in the buffered sensor data, extracting from the data buffer sensor data from a predetermined time window around the moment when the motion gesture occurred; automatically generating a regime file customized for the user based on the extracted sensor data, and generating in real-time a user interface displaying a representation corresponding to the motion indicated by the sensor data, wherein the CPU determines the signature of acceleration data by matching the buffered sensor data with stored motion signatures, wherein the regime file is automatically generated based on diagnostic parameters obtained from the sensor data associated with a motion activity category.

Disclosed is a method of facilitating operation of a health maintenance device. The method may include receiving a plurality of health maintenance participant information associated with a user. At least a part of the plurality of health maintenance participant information may be generated based on monitoring each of the health maintenance device and the user. Further, the method may include generating, using a processing device, a plurality of performance assessments of the user based on the plurality of the health maintenance participant information. Furthermore, the method may include generating at least one control code based on a comparing of the plurality of performance assessments with a health maintenance database. Additionally, the method may include transmitting the at least one control code to the health maintenance device. Further, the health maintenance device may be configured to be adjusted based on the at least one control code.

The present disclosure discloses a device, system and method for testing cardiac exercise functions. Chronotropic Competence Indices (CCIs) are proposed to quantitatively describe the adaptation capability of cardiopulmonary system in response to exercise intensity variation in terms of heart rate changes, and thereby describes the dynamic process of the heart in the body metabolic process. The present disclosure discloses a device which measures the CCIs in real time by using the wearable technology, and referred to as Cardiac Exercise Test (CET). Compared with the Cardiopulmonary Exercise Testing (CPX) and parameters measured by the CPX such as a maximum oxygen uptake, the CCIs have clear clinical meanings and specific normal reference values; and the CET reduces the risk of the test. It is simple to use, and can be used anytime anywhere. It is of great importance in wide clinical applications, and is of great significance in prevention and rehabilitation of cardiopulmonary disease.

A system for biomechanical analysis of user posture and automatic customized manufacture of bicycle parts includes a servo-assisted simulator having a handlebar, a saddle, pedal cranks, and actuators, a device detecting input data that includes a 3D scanner for automatically detecting the position of body segments of the user and the angular ranges therebetween and generating three-dimensional physical data units, an electronic platform detecting pressure data of the user, a pair of insoles detecting plantar pressure, a computer connected to the actuators and to the detection device, a memory unit storing optimized initial data and instantaneous data, software comparing the optimized initial data and the instantaneous data and generating final data of the characteristics of the main parts, a spatial representation device spatially representing the final data, and a device for immediate manufacture of the parts using 3D printers. A method of biomechanical analysis and custom manufacture of bicycle parts.

A scientifically controlled exercise based on a measurement of maximum voluntary contraction (MVC). A mechanical apparatus includes a sensor, an actuator, and a processor. The apparatus receives a mechanical exertion from a user while the processor receives signals from the sensor and sends signals to the actuator to control the mechanical apparatus. The processor measures a MVC exerted by a user and determines a protocol for the exercise based on the measured MVC. The protocol includes a specified exertion to be performed by a user, the specified force and velocity profile governing the exertion, and a specified sequence of repetitions of the exertion, spaced by rest periods. The protocol includes real-time feedback to the user related to compliance with the protocol. The methodology and equipment described herein provides users a safe and effective means of improving muscular strength or endurance and ameliorating various neurological or physiological conditions.