Patent classifications
A63B2230/08
Multi-Sensor Monitoring of Athletic Performance
Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (“GPS”) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.
METHODS AND SYSTEMS FOR BICYCLE FITTING
A method for bicycle fitting includes receiving evaluation factors based on one or more scenario parameters; positioning at least one of a saddle and a handlebar to one or more positions when a user is pedaling; determining values for the evaluation factors according to data received from one or more sensors at the one or more positions; and processing the values to identify one or more recommended positions for the saddle or the handlebar.
SYSTEMS AND METHODS FOR PROVIDING TRAINING OPPORTUNITIES BASED ON DATA COLLECTED FROM MONITORING A PHYSIOLOGICAL PARAMETER OF PERSONS ENGAGED IN PHYSICAL ACTIVITY
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.
Multi-sensor monitoring of athletic performance
Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (“GPS”) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.
Systems and methods for determining axial orientation and location of a user's wrist
The provided disclosure relates to systems and methods for determining the axial orientation and location of a user's wrist using one or more sensors located on the strap, the device underbody, or both. For example, the strap can include a plurality of elastic sections and a plurality of rigid sections. Each elastic section can include one or more flex sensors. In some examples, one or more electromyography (EMG) sensors can be included to measure the user's electrical signals, and the user's muscle activity can be determined. In some examples, a plurality of strain gauges can be included to generate one or more signals indicative of any changes in shape, size, and/or physical properties of the user's wrist. In some examples, the device can include a plurality of capacitance sensors for increased granularity and/or sensitivity in measuring the amount of tension exerted by the user's wrist.
AUGMENTED EXTENDED REALM SYSTEM
A machine implemented method for simulated sports training includes the steps displaying a simulated environment having one or more virtual objects of a sporting event; displaying to a user a moving object in the simulated environment in accordance with object path data representing an object path and conditions of motion of the moving object as a function of time; correlating soundscape data to the object path data, the soundscape data being dependent on both object path of the moving object in the object path and the conditions of motion; and outputting sound to the user based on the correlated soundscape data either before or during displaying to the user the moving object, thereby providing spatial auditory clues for assisting tracking eye movements of the user to train the user to anticipate or recognize a trajectory of the moving object.
Exercise guidance method and exercise guidance device
The present disclosure provides an exercise guidance method and an exercise guidance device. The method includes receiving myoelectric parameters of a user collected by a plurality of myoelectric sensors, determining a current exercise state of the user based on myoelectric parameters, generating exercise guidance information based on the current exercise condition, and sending the exercise guidance information to a terminal.
SYSTEMS AND METHODS FOR NEUROLOGIC REHABILITATION
A method and system for rehabilitation of a patient having a physical impairment by providing repetitive motion therapy is disclosed. The system is configured to receive biomechanical data from the patient regarding repetitive movements of the patient performed using a first and second side of the body, respectively, and select, based on the data, an entrainment side according to which repetitive motion therapy is provided. The system further performs repetitive motion therapy by: providing the patient auditory stimulus comprising beat signals output at respective beat times; receiving time-stamped biomechanical data for repetitive movements performed by the patient using the entrainment side in relation to the respective beat times of the beat signals; calculating an entrainment potential for the entrainment side by comparing a timing of the repetitive movements to the timing of the beat signals; and modifying the auditory stimulus as a function of the calculated entrainment potential.
FITNESS MACHINES WITH ADJUSTABLE SHOCK ABSORPTION AND METHODS OF ADJUSTING SHOCK ABSORPTION FOR FITNESS MACHINES
A fitness machine providing shock absorption for a user operating the fitness machine. The fitness machine includes a base, at least one member engageable by the user and moveable relative to the base during operation of the fitness machine, and a resilient body that resists movement of the at least one member towards the base so as to provide shock absorption for the user, wherein the resistance provided by the resilient body is adjustable. The fitness machine further includes a control system configured to receive from the user a shock setting corresponding to how much shock absorption is desired, and to receive other than from the user a secondary input, wherein the control system is further configured to adjust the resistance provided by the resilient body based on the shock setting and the secondary input.
Rehabilitation Support System and Method
A first calculation unit obtains an activity amount concerning the body movement of a measurement subject from a change in physical information measured by a physical measurement unit. A second calculation unit obtains a physiological load imposed on the measurement subject from a change in physiological information measured by a physiological measurement unit. A graph generation unit generates a graph concerning the activity amount obtained by the first calculation unit and the physiological load obtained by the second calculation unit. For example, the graph generation unit sets, as a first parameter, a change in the activity amount obtained by the first calculation unit, sets, as a second parameter, a change in the physiological load obtained by the second calculation unit, and generates two-dimensional graph data with the first parameter and the second parameter.