A movement tracking device that includes a housing, a rotatable spool secured within the housing, a rotary sensor in operable communication with the spool, and a conductive wire configured to be repeatedly unspooled from and respooled onto the rotatable spool. The conductive wire has a distal end extendable from the housing. The movement tracking device also includes a plurality of resonators and a processor in communication with the plurality of resonators and the rotary sensor. The plurality of resonators are disposed in or on the housing and positioned about the conductive wire. Each of the plurality of resonators is configured to create one or more magnetic fields through which the conductive wire extends. The processor is configured to receive information from the plurality of resonators and the rotary sensor and determine a position of the conductive wire.

A golf training device and method indicates the proper position and/or motion of the golfer's trail wrist during the club downswing. The device may detect that desired DWLA is attained and provide real-time alerts of same. The device may provide positive feedback in the form of an auditory, tactile, visual and/or other signal.

Ergonomics improvement systems having wearable sensors and related methods. An example ergonomics improvement system includes an encoder system to couple to a limb of a body. The encoder sensor system to generate first outputs in response to movement of the limb relative to the body to determine a position of the limb relative to the body. The system includes a load sensor to generate a second output representative of a load carried by the body and a position sensor to generate a third output representative of a position of a right foot of the body relative to a position of a left foot of the body.

The present disclosure provides a system and method for accurately detecting exercises performed by a user through a combination of signals from a visual input device and from one or more sensors of a wearable device. For each workout type, an algorithm leverages multimodal inputs for automatic workout detection/identification. Using multiple sources of visual and gestural inputs to detect the same workout results in a higher confidence in the detection. Moreover, it allows for continued detection of the workout, including counting repetitions, even when one or more signals becomes unavailable, such as if the user moves out of a field of view of the visual input device.

An exercise form analysis and feedback system (EFAF) including at least one sensor, at least one local movement data receiver, an analysis and feedback processing unit (AFPU) and a feedback display. The EFAF system of the present invention obtains lift movement data through the one or more sensors as lift movements are performed. This lift movement data may, in turn, be transmitted to one or more local movement data receivers such that the AFPU may operate on the lift movement data to provide real-time or near real-time form/technique feedback to the user via a feedback display. The system of the presentation invention uses machine learning techniques to provide feedback on lift quality aspects based on data associated with previous lifts and external data as applicable.

The various embodiments of the present invention provide a system and method for a fully mobile, non-invasive, continuous system for monitoring the cardiovascular and musculoskeletal health of an individual during exercise, and for administering a protocol for ischemic pre-conditioning. The system includes a wearable devices affixed on the user with a chest strap, coupled with an application running on a computing device (smartphone/smartwatch), which performs various computations on the wearable device, and allows the user to get real time alerts during exercise, by way of vibrations or audio messages or notifications on the gateway device, to guide them through a protocol for ischemic pre-conditioning.

An electronic device may receive log information regarding a motion of a wearable device from the wearable device, determine a value of at least one of one or more mobile parameters to be applied to a robot parameter algorithm for calculating a value of a robot parameter used to control the wearable device based on the log information, and determine the value of the robot parameter based on the robot parameter algorithm and the determined value of at least one of the mobile parameters.

In a first aspect, a method for monitoring a golf swing is provided that includes coupling a mobile telephone to a golf club and employing the mobile telephone coupled to the golf club to monitor acceleration of the mobile telephone as the mobile telephone swings while a user swings the golf club, collect acceleration information based on the monitored acceleration of the mobile telephone as the mobile telephone swings, analyze the collected acceleration information to determine one or more characteristics of the golf swing based on the collected acceleration information, and output information regarding the one or more characteristics of the golf swing on the display of the mobile telephone. Numerous other aspects are provided.

Articles of sports equipment, such as striking implements (e.g., sticks) and wearable articles (e.g., skates, helmets) for playing hockey or other activities, in which at least one of the characteristics (e.g., stiffness) of the articles of sports equipment is adaptable and can be altered during use of the sports equipment, such as by comprising an alterable component coupled to a controller, by comprising an alterable component that is autonomously alterable, and/or by an alterable component that can be altered in response to a command of a remote device.

A system for physical rehabilitation comprises a clinician interface including a patient profile display presenting data regarding performance of a regimen for a body part. A patient interface presents instructions and status information regarding the performance of the regimen. The patient interface further presents a questionnaire soliciting responses to questions pertaining to current and past physical conditions of the patient. Selected responses to the questions cause the system to take actions, including preventing operation of a treatment apparatus by the patient, and/or transmitting an alert message to a clinician. The alert message may be transmitted within the clinician interface and/or as a real-time message outside of the clinician interface. A questionnaire is presented to the patient in response to occurrence of a triggering event pertaining to the patient's use of the treatment apparatus.