Patent classifications
A63B2220/803
Device for Displaying in Response to a Sensed Motion
A device includes a signaling means and a motion sensor, and logic for activating or controlling the signaling means in response to a sensed motion according to an embedded logic. The device may be used as a toy, and may be shaped like a play ball or as a handheld unit. It may be powered from a battery, either chargeable from an AC power source directly or contactless by using induction or by converting electrical energy from harvested kinetic energy. The embedded logic may activate or control the signaling means, predictably or randomly, in response to sensed acceleration magnitude or direction, such as sensing the crossing of a preset threshold or sensing the peak value. The visual means may be a numeric display for displaying a value associated with the count of the number of times the threshold has been exceeded or the peak magnitude of the acceleration sensed.
Portable Fitness Monitoring Methods
Portable fitness monitoring methods are disclosed. In an embodiment, a portable fitness monitoring method includes a method for providing audible output to a user during an athletic activity using a portable fitness monitoring device. The method includes the steps of receiving an audio feedback file package that includes a first audio feedback file, updating the audio feedback file package, and processing the updated audio feedback file package to provide audible output to the user through an audio output device during the athletic activity.
System and method of fitness training in virtual environment
A system for fitness training in a virtual environment. The system includes a cardiovascular training equipment, a head mounted device for presenting a video content associated with the virtual environment, and at least one computing device communicably coupled to the cardiovascular training equipment and the head mounted device. The at least one computing device is operable to provide the video content to the head mounted device, and modify at least one setting of the cardiovascular training equipment based on a metadata associated with the video content.
Running analysis device
A running analysis device includes a processor and a storage. In the storage, a program to be executed by the processor is stored. The processor performs an analysis process by which running of a user is analyzed using sensor data output from a sensor attached to the user. The analysis process includes an indicator identifying process of identifying, in a swing phase in a running cycle, a period that serves as an indicator.
Sensing device for training machine
A sensing device for a training machine is disclosed. The training machine includes a base frame and two linkage assemblies, which are provided on two lateral sides of the base frame, and are pivotally connected to the base frame. The sensing device includes a sensed member and a sensing unit. The sensed member is engaged with the inside of one of the linkage assemblies, and moves along a movement path along with the linkage assemblies. The sensing unit includes sensors and a processor. Each of the sensors outputs a signal when the sensed member is located in a sensing range thereof. When the sensed member moves along the movement path, it is sequentially sensed by the sensors, and each of the sensors outputs the signal respectively. The processor receives the signals to determine a moving distance of the sensed member accordingly. Whereby, an amount of training could be measured accurately.
BASKETBALL PERFORMANCE MONITORING SYSTEM
A basketball performance monitoring system comprising a local microprocessor in communication with a remote computational system. At least one sensor is coupled to the microprocessor. The at least one sensor is coupled to a basketball goal and is configured to sense at least one of an attempt to score a goal and a successful goal. A first display is coupled to the microprocessor and a second display is coupled to the remote computational system.
SYSTEMS AND METHODS FOR MINIMALLY INTRUSIVE DISPLAYS
A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive an activity metric. The processor is further configured to display, via the display system, the activity metric, wherein the display system is disposed in the eyewear so that the activity metric is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle a from a forward direction.
Treadmill with Running Form Detection Device
The present invention relates to a novel treadmill with running form detection device. The device is an improved treadmill for detecting a user's gait, landing form, and arm swing, as well as other running biometrics on a treadmill. The treadmill with running form detection device comprises a treadmill having a body component with a plurality of sensors for detecting a user's running form. Typically, the plurality of sensors collect data on the running biometrics of a user, and the output of the sensors is then displayed via a display on the treadmill. Users can identify and correct their running form based on this output.
BICYCLE SIMULATOR
A bicycle simulator includes: a base portion; a frame support portion connected to the base portion to be movable in a direction and configured to support a frame of a bicycle docked, the frame connecting a front wheel with a rear wheel of the bicycle; a first sensor portion configured to obtain sight information of a rider riding on the bicycle; a processor configured to generate a virtual image that is changed according to the sight information of the rider obtained by the first sensor portion; and a display displaying the virtual image.
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.