An exercise machine is disclosed. The exercise machine comprises a pancake motor. The exercise machine comprises a torque controller coupled to the pancake motor. The exercise machine comprises a high resolution encoder coupled to the pancake motor.

A pedal drive system, in particular for an electric vehicle or a training apparatus, and for generating electrical power from muscle power of a user with at least one pedal and an electric generator, connected mechanically with said at least one pedal, is provided. To improve the haptic feel and feedback at the pedal, a control unit is provided for controlling a feedback torque, applied at said pedal, wherein the control unit comprises a haptic renderer, configured for control of said feedback torque based on at least one user-defined pedal reference trajectory.

Systems and methods are disclosed for generating a 3D avatar and object fitting recommendations 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 the 3D avatars and object fitting recommendations.

The present disclosure provides a training device and a utilizing method thereof. The training device includes a main assembly and a first attachment assembly. The main assembly includes a housing and a driving component. The driving component is disposed in the housing. The first attachment assembly includes a first rod and a first attachment component. An end of the first rod is connected to the driving component. The driving component drives the first rod to rotate. The first attachment component is disposed on the first rod and attaches to a user.

A system and method for generating a play prediction for a team is disclosed herein. A computing system retrieves trajectory data for a plurality of plays from a data store. The computing system generates a predictive model using a variational autoencoder and a neural network by generating one or more input data sets, learning, by the variational autoencoder, to generate a plurality of variants for each play of the plurality of plays, and learning, by the neural network, a team style corresponding to each play of the plurality of plays. The computing system receives trajectory data corresponding to a target play. The predictive model generates a likelihood of a target team executing the target play by determining a number of target variants that correspond to a target team identity of the target team.

A system and method for targeted neurological treatment using brainwave entrainment therapy with passive treatment that allows for targeted treatment of particular areas of the brain, particular neurological functions, particular neurological states, and combinations of areas, functions, and states. The system and method receive gait parameters for an individual and compare those against a database of historical gait data to determine if an onset neurodegenerative condition is present, and applies a brainwave entrainment therapy responsive to the determination of the condition. The system and method receive a neurological assessment identifying areas of the brain or neurological functions to be treated, select one or more treatment modalities and frequencies, select a treatment regimen, and apply brainwave entrainment using a treatment regimen while the subject engages in dual-task activities selected to stimulate the areas of the brain, neurological functions, or neurological states to be treated, enhanced, or altered.

An exercise machine comprises an actuator, a motor coupled to the actuator, and a motor controller coupled to the motor. The motor controller is configured to receive an indication of a characteristic of a workout on the actuator, wherein the workout comprises a next exercise movement, determine a suggested weight for the next exercise movement, based at least in part on a physiological analysis of the workout characteristic, and control torque of the motor for the next exercise movement, based at least in part on the suggested weight.

A wearable training apparatus has a vision-control assembly and a head-mounting assembly coupled to the vision-control assembly. The vision-control assembly has a see-through area corresponding to a central portion of the human field of vision (FOV), and a vision-blocking area for blocking the human peripheral FOV except the central portion thereof. The wearable training apparatus may be in the form of a pair of eyeglasses with lenses provided with reduced FOV or alternatively, may be in the form of a goggle with reduced FOV. A training system may comprise one or more wearable training apparatus, one or more imaging devices for recording images and/or video streams of the performance of users wearing the training apparatuses, and one or more computing devices for playing back and analyzing the recorded images and/or video streams.

An electro-mechanical displacement exercise apparatus for processing a maximum force potential of an athlete, including a frame a frame including a platform, wherein a section of the platform is connected to a tower, whereby the tower houses control means for manipulating a tension supporting member connected to a force bearing member, a first pull location, whereby the first pull location is positioned on the platform and within the frame and whereby the first pull location is operatively connected with a portion of the tension supporting member, whereby a user may exert a force on the tension supporting member operatively connected to a first actuator; and wherein the first actuator is housed within the tower, and whereby the first actuator includes a motor coupled to a gearbox.

A surfing simulation device can be wirelessly connected with virtual reality (VR) glasses. The surfing simulation device includes a surfboard, a surfboard base, and a controller disposed in the surfboard base. The controller controls the actions of the surfboard based on scene information associated with a surfing scene displayed in the VR glasses, such that the actions of the surfboard are synchronous with the surfing scene displayed in the VR glasses. The surfboard of the surfing simulation device can make simulating actions in real time by synchronizing with a surfing scene displayed in VR glasses, such that users can experience the immersive feeling.