An exercise machine has a supporting frame; a resistance fan on the supporting frame, the resistance fan being configured to provide an amount of resistance to a user of the exercise machine; a housing enclosing the resistance fan, the housing having a plurality of openings through which air from the resistance fan is directed towards the user of the exercise machine; and a shroud on the housing. The shroud is movable with respect to the plurality of openings so as to redirect the air from the resistance fan without changing the amount of resistance provided to the user of the exercise machine.

An electromagnetic resistance feedback bicycle training device includes a bicycle trainer frame, an electricity generator, and a resistance feedback system. The electricity generator and the resistance feedback system are mounted on the bicycle trainer frame. The resistance feedback system includes a transmission system connectable to an external electronic device, an electromagnetic resistance generation unit operable to induce an electromagnetic resistance force to a rotating object, a feedback circuit, and a control unit. The control unit detects, by means of an electromagnetic detection element of the feedback circuit, a strength of an electromagnetic field generated by the electromagnetic resistance generation unit, and, in response to the strength of the electromagnetic field, adjusts a level of the electromagnetic resistance force generated by the electromagnetic resistance generation unit. As such, the present invention enables self-generation of electricity and self-supply of electrical power without connection with an external power source and features instantaneous feed-back of electromagnetic resistance force and self-adjustment for maintaining a constant level of the electromagnetic resistance force.

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

A treadmill may include a deck, a first pulley incorporated into the deck, a second pulley incorporated into the deck, a tread belt surrounding the first pulley and the second pulley, a motor in mechanical communication with at least one of the first pulley and the second pulley to move the tread belt in a first direction, and a runaway mitigation mechanism in at least indirect mechanical communication with the motor. The runaway mitigation mechanism at least mitigates a motor runaway condition.

A system, method, and wireless earpieces for implementing a virtual assistant. A request is received from a user to be implemented by wireless earpieces. A virtual assistant is executed on the wireless earpieces. An action is implemented to fulfill the request utilizing the virtual assistant. The wireless earpieces may be a set of wireless earpieces and the virtual assistant may be implemented independently by the wireless earpieces.

A computing system wirelessly receives data from an ear-wearable device and determines, based on the data received from the ear-wearable device, a current position of the ear-wearable device. Additionally, the computing system determines, based on the current position of the ear-wearable device and data regarding a golf course, golf advice data that provides a recommendation regarding play of the golf course. Furthermore, the computing system wirelessly sends audio data to the ear-wearable device. The audio data represents soundwaves of a vocalization of the golf advice data.

Sensors in a golf teeing booth are used to: detect that a ball has be driven and estimate a predicted ball landing point on a golf practice range. A mobile unmanned golf ball retrieval vehicle, sometimes referred to as a gofer, determines a precise ball location on the field and reports the results to a control system. The control system updates the golfer's score based on the determined precise ball location.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle from a forward direction.

A golf instruction method, apparatus and analytics platform for determining the state of a putted golf ball relative to a target using information about the golf ball and external variables and remotely displaying the same, comprising a base unit, a mobile device or terminal, and an associated computer program including an analytics engine for analyzing a user's performance. The computer program determines whether and how a putted golf ball has missed said target and then stores, aggregates and displays that information for a user. The analytics engine is operable to aggregate data, analyze data and then correlate a user's actual skill proficiency to ball performance.