This disclosure relates to systems, media, and methods for providing near-instantaneous feedback from real-time motion sensor data. In an embodiment, the system may perform operations including loading at least one target motion trigger. Disclosed embodiments may receive real-time sensor data from the first motion sensor detachably fixed to a user. Additionally, disclosed embodiments may include calculating a motion profile based on the real-time sensor data, the motion profile describing a multi-dimensional representation of acceleration of a motion performed by the user. Disclosed embodiments may also include comparing the at least one target motion trigger to the calculated motion profile to determine if the motion performed by the user corresponds to the target motion. Further, disclose embodiments may include transmitting, based on the comparison, an instruction to provide an alert to a user.

An exercise treadmill is disclosed. The treadmill can be constructed with no obstructing front rails, with one or more side rails, and/or with a structural flat or ramped surface at the front allowing the user to exercise with unconstrained motion. The treadmill can further include one or more accommodations to help the user stay safe, remain longitudinally centered, and/or adjust speed with controls built into the treadmill, or automatically based on body position relative to sensors built into the side rails. The treadmill belt may be motor driven, or be user driven and dynamically moderated by resistance. The treadmill configuration can be utilized to provide a virtualized exercise experience for the user.

A smart vehicle flock navigation system includes a plurality of smart vehicles configured to follow a leader smart vehicle, wherein the leader smart vehicle is configured to follow a target vehicle or a target driving plan; each smart vehicle being equipped with: obstacle detection and avoidance capabilities; vehicle-to-vehicle communication means for transmitting information about obstacles and evasive actions to following smart vehicles; a flock control module for adjusting the driving path of the smart vehicle flock based on transmitted obstacle information; a flocking behavior algorithm based on three independent rules: Separation, Alignment, and Cohesion, controlling the motion of each smart vehicle within the flock; and a distributed flocking operation mechanism utilizing wireless network communication for coordinating the behavior of the smart vehicle flock.

An orthostatic hypotension alleviation device comprising an outer casing comprising an aperture extending therethrough; a carriage arranged within the outer casing and configured to be reciprocally displaced towards and away from the aperture along a carriage displacement axis; a spindle arranged on the carriage and configured to rotate about a spindle axis; a tether at least partially wound around the spindle, the tether comprising a distal end extending through the aperture, the tether being arranged such that it can be extended from a retracted configuration to an extended configuration in which the tether is fully extended by pulling the distal end away from the aperture so rotating the spindle about the spindle axis; a spindle biasing mechanism connected to the spindle and configured to apply a biasing torque to the spindle about the spindle axis so as to bias the tether towards the retracted configuration; and, a carriage biasing mechanism arranged within the outer casing connected to the carriage and configured to bias the carriage away from the aperture.

Systems and methods for electronically providing fitness activity feedback to a user are disclosed. The method may include collecting performance data, generating comparison data by comparing the respective performance and including identifying comparison performance data representative of performance differences, and displaying the comparison data and the comparison performance data.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

The invention relates to a sensor apparatus, comprising: a sensor unit, a wireless communication unit configured to directly or indirectly transmit and receive data to and from an external source, and means for receiving identification information from a sports item while being attached to the sports item, wherein the apparatus is initiate identification of the sports item in response to a trigger from an identification activation element in the sports item.

A platform models and correlates physical activities based on users' interactions with a simple grip-metaphor design, enabling multi-dimensions actionable information to improve the health, performance and well-being of connected grip users within like-minded communities. For example, the platform captures multi-dimensional datasets generated from activities of each of a plurality of users on the online human internet of thing platform, where the activities include physical interactions with connected grips systems connected to the online human internet of thing platform. The platform then filters the captured multi-dimensional datasets into a plurality of categories and scores the filtered multi-dimensional data by the human internet of thing platform. Finally, the platform generates a multi-dimensional information modeling for each user based on the scored multi-dimensional data.

Systems, media and methods for an interactive speed ladder are provided. A system includes a speed ladder that has parallel side members and parallel cross members each connecting each of the side members. The system may further include a receiving module configured to receive light path sequence data and foot movement data of a user relative to the speed ladder, wherein the light path sequence data and the foot movement data are received from different sources. The system may also further include lights, located within the cross members, configured to display a light path sequence based upon sequence data received prior to a start of the sequence and an output module configured to output user foot movement data.

A machine implemented method and system, including: transmitting one or more credentials of a user account from a user device to an exercise management system (EMS) having a processor and one or more sensors, where the EMS is disposed on an exercise equipment disposed in a selected at least one fitness center and the exercise equipment is part of a selected at least one exercise plan; transmitting the one or more credentials of the user account from the EMS to a cloud server having a processor; transmitting the selected at least one exercise plan for the new user account from the cloud server to the EMS; transmitting an exercise equipment information from the EMS; forming a user exercise data by the EMS for the exercise equipment based on data received from the one or more sensors; and transmitting an exercise feedback from the EMS.