System for mechanically assisting rehabilitation of a patient. The system includes: a manipulator having at least five degrees of freedom and defining a free end; a limb support for supporting a limb of the patient, and secured relative to the free end of the manipulator; a force sensor operatively connected to the limb support to allow measuring input forces applied by the patient; and a processor communicatively connected to the force sensor, the manipulator, and a memory store which defines a scale factor. The processor is configured to control operation of the manipulator to move the limb support, and further configured so that responsive to receiving an input force measurement from the force sensor, the processor determines an applied force as a function of the input force and the scale factor.

Systems and methods are disclosed for generating a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate 3D avatars.

Motion sickness is reduced for users of mechanical systems used to practice sports that comprise an immersive virtual reality device. In particular, the use of prediction and interpolation algorithms enable fluid movements to be displayed within the virtual environment.

A method controls a piece of exercise equipment when a user of the exercise equipment is using a virtual reality headset. The method begins by receiving sensor inputs detecting a position of the user with respect to the exercise equipment. An operational zone of the exercise equipment is then determined. It is then identified when the user is moving toward a warning area within the operational zone of the exercise equipment. The method then sends signals to the virtual reality headset. Based on the signals, the virtual reality headset creates audible and visual outputs to instruct the user to move back fully into the operational zone of the exercise equipment.

Disclosed are example embodiments of systems and methods for exercise including an exercise machine including a multiple directional force component configured to apply a multiple directional force to an exercise machine-human body interface, the multiple directional force component further configured to provide a divergent intensity to the exercise machine-human body interface to provide the human body with a resistance during a physical exercise and an artificial intelligence (AI) component configured to control the multiple directional force component. In an example, the AI component may control the multiple directional force component based on morphological characteristics and variability of running speed parameters including at least one of stride length, stride frequency, explosive drive force, and arm drive.

Example systems, devices, media, and methods are described for presenting a virtual guided fitness experience using the display of an eyewear device in augmented reality. A guided fitness application implements and controls the capturing of frames of motion data using an inertial measurement unit (IMU) and video data from one or more cameras. The method includes detecting exercise motions (with or without equipment) as well as detecting and counting repetitions. Relevant data about detected motions or equipment is retrieved and used to curate the guided fitness experience. A current rep count is presented on the display along with an avatar for playing messages, performing animated demonstrations, responding to commands and queries using speech recognition, and presenting guided fitness instructions through text, audio, and video.

An interior bike system includes: an interior bike including a rotational angle detection sensor sensing a pedal rotation angular speed; a motion recognition sensor recognizing a head or upper body motion of a player; a heart rate measurement sensor measuring a heart rate of the player; a controller receiving and transferring sensing signals of the rotational angle detection sensor, the motion recognition sensor, and the heart rate measurement sensor to a web server; the web server determining whether performing the task motion given to the player is successful based on the signal of the motion recognition sensor of the controller, and generating a content image to which whether the player succeeds in performing the task motion is reflected and transmitting the generated content image to the content controller; and a display unit displaying an image transmitted from the web server through the controller.

An adjustable weight exercise system is provided. A permanent weight assembly and a plurality of interlocking weights are provided. A base comprises an interlocking weight carrier, wherein the interlocking weights are supported on the interlocking weight carrier and an interlocking weight selector, wherein the interlocking weight selector is adapted to cause interlocking weights to be set to be locked to the permanent weight assembly while the permanent weight assembly is not on the base, wherein placement of the permanent weight assembly on the base causes interlocking weights that are set to be locked to the permanent weight assembly to be locked to the permanent weight assembly, and wherein placement of the permanent weight assembly on the base does not cause interlocking weights that are not set to be locked to the permanent weight assembly to be locked to the permanent weight assembly.

A balance training system includes a moving carriage moving on a moving surface by driving a driving unit, and calculates a load's center of gravity of the training person's feet on a boarding surface from the detected load. The system sets a stable range. The stable range is a range of the load's center. The training person is estimated to maintain upright on the boarding surface in the range. The system controls movement of the moving carriage in a mode selected between a first mode and a second mode. In the first mode, the driving unit drives under drive control predicting that the calculated load's center shifts within a first range set inside the stable range. In in the second mode, the driving unit drives under drive control predicting that the calculated load's center shifts to a second range set outside the first range inside the stable range.