A tennis ball retriever for retrieving a tennis ball on and about a tennis court and for controllably releasing the ball includes a front-end ball collector having two spaced-apart blades defining a ball collection space. The retriever includes a means for gripping and securing a ball positioned at the fore end, and one or more detents for retaining the collected ball in the collection space until a programmed or manually-directed release toward a target location such as a tennis baseline. The retriever includes a processor-controller for controlling and directing the retriever during a retrieval session. The retriever may be remote-controlled such as by voice commands.

The invention relates to a control device for controlling an engine driven transport apparatus. The control device comprises a fitness apparatus having a base part and at least one movable part movable with respect to the base part for enabling a user to perform a physical exercise. The control device further comprises a sensor device for sensing a degree of physical exercise. The control device is arranged for controlling engine power of an engine of the transport apparatus at least partly based on the sensed degree of physical exercise. The fitness apparatus comprises a flywheel rotatably connected to the base part. The fitness apparatus is arranged for setting the flywheel into motion by means of at least one of the one or multiple movable parts. The sensor device is arranged to sense the degree of performed physical exercise at least partly by sensing a degree of motion of the flywheel.

A method for prediction of a head impact event mechanism via an instrumented mouthguard device comprises receiving, as input, time series data representative of a head impact event, wherein the time series data is derived from the instrumented mouthguard device. The instrumented mouthguard device includes one or more accelerometers. The method further comprises generating an array of spatial coordinates representing points on a computer head model, and processing the time series data to determine a direction of impact and location of impact relative to the computer head model.

A face device for monitoring biomedical parameters of a user provides a support and housing structure shaped so as to be applied to the head of the user, an oximetry sensor fitted to the support and housing structure so as to adhere, in an operating position, to the face of the user at the facial artery, a sound source fitted to the support and housing structure so as to adhere, in an operating position, to a cranial bone of the user, an independently powered electronic board for processing data, received in the support and housing structure and connected to the oximetry sensor and to the sound source so as to detect and process signals coming from the oximetry sensor and to provide information on biomedical parameters to the user acoustically through the sound source. This face device does not engage or distract the user.

A rehabilitation system using an artificially intelligent horseback-riding apparatus for hippotherapy, the system comprising: an artificially intelligent horseback-riding apparatus which is ridable; a smartphone which can communicate with a cloud server and has installed an application for controlling the operation state of the artificially intelligent horseback-riding apparatus and operating the horseback-riding apparatus; a diagnostic device which is for diagnosing the state of a patient by means of a brain wave signal of the patient; an operating unit which is for operating the artificially intelligent horseback-riding apparatus; and a cloud server which is for storing, in the smartphone, treatment program and data, necessary for a patient treatment, and for transmitting same.

A horse-riding training device comprises a base, a body portion for supporting a rider, the body portion being displaceably mounted on the base, a neck portion pivotally connected to the base and a resilient element which resists displacement of the body portion and the neck portion with respect to the base, which provides a realistic simulation of riding a horse.

An apparatus which accurately analyzes a motion state of an exercise appliance and performs a notification of the accurately analyzed motion state. A sensor unit includes a sensor section that is attached to a golf club and detects a swing motion of the golf club, and an imaging portion that captures an image of a part of interest corresponding to the golf club.

This disclosure relates to systems, media, and methods for quantifying and monitoring exercise parameters and/or motion parameters, including performing data acquisition, analysis, and providing scientifically valid, clinically relevant, and/or actionable diagnostic feedback. Embodiments may be related to systems, devices, methods, and computer-readable media for providing baseline-adjusted real-time feedback to a user. Embodiments may include determining a type of activity for the user. Embodiment may include receiving data from the one or more motion sensors indicating a time-dependent series of three axis acceleration data and three-axis orientation data. Embodiments additionally may include providing a graphical user interface with a real-time representation of the received data. The real-time representation may include a scaled representation of at least one dimension of the time-dependent series of three axis acceleration data and three-axis orientation data for at least one of the one or more motion sensors based on the updated baseline adjustment.

The present disclosure relates to systems and methods for elastic delivery, processing, and storage for wearable devices based on system resources. For example, a wearable apparatus may have at least one battery; at least one sensor configured to measure at least one property associated with a user of the wearable apparatus; at least one memory storing measurements from the at least one sensor and instructions; at least one transmitter configured to send data to a device remote from the wearable apparatus; and at least one processor configured to execute the instructions to: receive, from the at least one battery, an indicator of a charge; and based on the received indicator, sending a command to the at least one sensor to operate in a low-power mode or a high-power mode, the low-power mode having. a lower sampling rate than the high-power mode.

Devices and computer technology are configured to enable enhanced simulated bicycle steering for use with a stationary training system. For example, one embodiment includes a device configured to support and enable simulated steering of a bicycle front wheel, for use with a stationary training system, optionally including a sensor device configured to provide a steering signal for user by a bicycle simulator software application. Further embodiments include computer technology configured to provide bicycle simulation functionality, including steering. Simulation of steering is in some embodiments based on a combination of handlebars turning and bicycle tilt, and may account for counter-steering motions.