In one aspect of the disclosure, a method that involves keeping state of a video workout program may include communicatively coupling a server in a cloud network to an exercise machine through a first network connection, communicatively coupling the server to a network device through a second network connection, the server providing a video workout program to the exercise machine for execution at the exercise machine to enable a user to perform at least a portion of a workout of the video workout program on the exercise machine, the server keeping state of the video workout program during execution of the video workout program based on inputs from the exercise machine and the network device, and taking an action based on the state. The action may include synchronizing multiple displays, adaptively scaling the video workout program, and/or generating and providing an exercise machine control command to the exercise machine.

A system (100) for training a subject such that the subject includes an input unit (102) having a number of sensors (112) that are configured to detect a number of physiological parameters of a user. A processing unit (104) is configured to receive the number of physiological parameters for comparing the number of physiological parameters with a set of predefined physiological parameters to generate a baseline signal (116A). An output unit (106) is configured to generate an instruction signal (118A) upon receipt of the baseline signal (116A) and a regulating unit (108) that is configured to regulate a speed of a game associated with a gamification engine (110) and a speed of an exercising apparatus (200) upon receipt of the instruction signal (118A).

The invention relates to a device for neurovascular stimulation, at least comprising: at least one brain activity sensor, at least one cardiovascular sensor, at least one computing unit and at least one output unit. The computing unit comprises at least one task algorithm, wherein signals of at least the brain activity sensor and the cardiovascular sensor can be received by the computing unit, and wherein a task, which is in correlation with at least the signals from at least the brain activity sensor and the signals of the cardiovascular sensor, can be determined by means of the task algorithm and can be output by means of the output unit.

A bioelectrical signal controlled exercise machine system for allowing an exerciser to control the state of an exercise machine and exercise environment. The bioelectrical signal controlled exercise machine system generally includes an exercise machine, a bioelectrical sensor device and a control unit in communication with the bioelectrical sensor device and the exercise machine. The control unit is adapted to receive data from the bioelectrical sensor device relating to measured bioelectrical signals of the human exerciser, and wherein the control unit transmits a control signal to the exercise machine to change the state of the exercise machine based on the data from the bioelectrical sensor device.

A bioelectrical signal controlled exercise machine system for allowing an exerciser to control the state of an exercise machine and exercise environment. The bioelectrical signal controlled exercise machine system generally includes an exercise machine, a bioelectrical sensor device and a control unit in communication with the bioelectrical sensor device and the exercise machine. The control unit is adapted to receive data from the bioelectrical sensor device relating to measured bioelectrical signals of the human exerciser, and wherein the control unit transmits a control signal to the exercise machine to change the state of the exercise machine based on the data from the bioelectrical sensor device.

A bioelectrical signal controlled exercise machine system for allowing an exerciser to control the state of an exercise machine and exercise environment. The bioelectrical signal controlled exercise machine system generally includes an exercise machine, a bioelectrical sensor device and a control unit in communication with the bioelectrical sensor device and the exercise machine. The control unit is adapted to receive data from the bioelectrical sensor device relating to measured bioelectrical signals of the human exerciser, and wherein the control unit transmits a control signal to the exercise machine to change the state of the exercise machine based on the data from the bioelectrical sensor device.

An exercise system. A member ID of a member of the exercise system is received. A selection of an exercise routine comprising of two or more exercises is received. Settings associated with a previous performance of at least one of the two or more exercises by the member are provided.

A multimodal human-robot interaction system for upper limb rehabilitation, including an electroencephalography signal acquisition and processing module, a robot module, a comprehensive affected upper limb muscle signal acquisition and processing module, a rehabilitation training evaluation module, and a virtual reality module. The electroencephalography signal acquisition and processing module captures a motion intention of a patient by means of electroencephalography signals to trigger rehabilitation training. The robot module assists an affected upper limb with rehabilitation exercise. The comprehensive affected upper limb muscle signal acquisition and processing module acquires and obtains a comprehensive assessment of the affected upper limb. The rehabilitation training evaluation module is used for processing and analyzing the comprehensive assessment of the affected upper limb, so as to obtain a quantitative evaluation of the affected upper limb during rehabilitation training. The virtual reality module is used for displaying a virtual environment for rehabilitation training, and interacting with the patient.

The present disclosure provides systems and methods for providing training opportunities based on data collected from monitoring a physiological parameter of persons engaged in physical activity. The physical activity can be a sporting activity, such as a contact sport (e.g., football, hockey, lacrosse) or a recreational activity or sport (e.g., biking, hiking, skiing, snowboarding, motorsports). The system is configured with select components that perform a method of (i) recording data related to a physiological parameter of a person engaged in a physical activity (e.g., an impact received by a player engaged in a contact sport), (ii) analyzing the recorded data related to the physiological parameter while the person is engaged in a physical activity (e.g., is the received impact greater than a predetermined threshold), and (iii) providing post-physical activity analysis of the recorded data to make suggested changes in how the person engages in the physical activity.

Exosuit systems and methods according to various embodiments are described herein. The exosuit system can be a suit that is worn by a wearer on the outside of his or her body. It may be worn under the wearer's normal clothing, over their clothing, between layers of clothing, or may be the wearer's primary clothing itself. The exosuit may be assistive, as it physically assists the wearer in performing particular activities, or can provide other functionality such as communication to the wearer through physical expressions to the body, engagement of the environment, or capturing of information from the wearer.