Patent classifications
A63B2071/068
Method and System for Using Artificial Intelligence to Independently Adjust Resistance of Pedals Based on Leg Strength
A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.
System and method for identifying and correcting muscular and skeletal disbalances through exercise
A method for identifying and correcting muscular and skeletal disbalances through exercise includes recording, by a processor, using at least one sensor coupled to the processor, an exercise motion performed by a user, identifying, by the processor, a motion deficiency of the user based on the detected exercise motion, formulating, by the processor, a corrective motion based on the detected motion deficiency, and providing, by the processor, the corrective motion to the user, which also includes identifying motion deficiencies as far as range of motion, balance, symmetry, smoothness, strength, stamina and other motion characteristics, formulating corrective exercise program that involves multiple training machines, formulating exercises in terms of number of repetitions, cadence (frequency) or motion, range of motion, added resistance levels, communicating the corrective exercise program via the screen embedded on each machine, and guiding the user through each exercise, directing user to change exercise machines.
REFLECTIVE VIDEO DISPLAY APPARATUS FOR INTERACTIVE TRAINING AND DEMONSTRATION AND METHODS OF USING SAME
A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.
SYSTEM AND METHOD FOR USE OF TELEMEDICINE-ENABLED REHABILITATIVE HARDWARE AND FOR ENCOURAGEMENT OF REHABILITATIVE COMPLIANCE THROUGH PATIENT-BASED VIRTUAL SHARED SESSIONS
In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.
SPORT TRAINING BAG
A sport carrying bag has a rotatable disc which is configured with a plurality of circumferentially spaced ball-receiving regions including one through-hole region, a mounting plate located below the disc, a chute downwardly extending to a loading section of launching apparatus, a fixed bi-directional ball feeding motor for rotatably driving the disc, and a controller in data communication with the ball feeding motor. Upon rotation of the disc in a first direction, a ball received in the through-hole region ceases to be contacted by the mounting plate and gravitates through the chute to the loading section of the launching apparatus. In response to a detected jammed condition, the controller commands the ball feeding motor to reverse its operating direction such that the disc will rotate in a second direction to cause one or more jammed balls to become dislodged.
Exercise machine
An exercise machine may include a frame, a resistance mechanism supported by the frame, and a console configured to control the resistance mechanism and guide a user through a workout using the exercise machine using a projected visual indicator to assist a user in performing the workout properly.
Arcuate motion apparatus and method
A training or exercise apparatus may have a base and an adjacent movable armature or frame that carries a riding member, or shuttle, or carrier. The carrier has an engagement interface with an element of sporting or exercise equipment. The sporting or exercise equipment is engaged by the user, typically by being grasped. The apparatus defines a physical or virtual schedule describing an arc for a swing in the particular activity. The apparatus may include a manual or electronic means of imposing resistance to the motion. This resistance may be adjustable, and may be programmable as a function of one or both of position and speed. The apparatus may include an array of sensors such as may be used to determine the pre-existing stroke, and such as may be monitored during training to assess progress. The apparatus may be operated passively, or it may be operated interactively in a manner in which real-time feedback causes the apparatus to adjust resistance to the motion.
SPORT SWING TRAINER WITH STRAP AND ELASTIC BAND
A trainer for improving an athletic swing includes an elastic band having an anchor end and a handle end, and configured to expand and contract. The trainer further includes a handle coupled to the handle end of the elastic band and configured to be gripped by a user. The trainer further includes a strap coupled to the anchor end of the elastic band and configured to be sandwiched between two objects to anchor the anchor end of the elastic band to at least one of the two objects.
Respiratory training system
A system for respiratory training including a housing, a respiratory air channel disposed within the housing, a sensor configured to detect a breathing indicator and transmit a breathing indicator signal, a haptic device disposed within the housing, a processor operatively coupled to the sensor and the haptic device, and a memory device operatively coupled to the processor. The memory device includes instructions that, when executed by the processor, cause the processor to receive the breathing indicator signal from the sensor; generate a breath determination based on the breathing indicator signal; and responsive to the breath determination, cause the haptic device to generate a vibration.
METHOD AND SYSTEM FOR TELEMEDICINE RESOURCE DEPLOYMENT TO OPTIMIZE COHORT-BASED PATIENT HEALTH OUTCOMES IN RESOURCE-CONSTRAINED ENVIRONMENTS
A method includes receiving a set of treatment plans. Each treatment plan comprising the set of treatment plans may be associated with a user capable of using a treatment device to perform the associated treatment plan. The method also includes receiving healthcare professional profile information. The method also includes identifying treatment device information for each treatment device capable of being used by a cohort of users associated with respective treatment plans. The method also includes using an artificial intelligence engine, wherein the artificial intelligence engine uses at least one machine learning model configured to generate resource deployment predictions, to generate at least one resource deployment prediction. The at least one machine learning model may generate the at least one resource deployment prediction based on at least some treatment plans comprising the set of treatment plans, at least some of the healthcare professional profile information, and at least some of the treatment device information.