An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

An exercise machine is disclosed. The exercise machine comprises a tension generating device. The exercise machine comprises a translatable arm mount coupled to the tension generating device. The exercise machine comprises an arm coupled to the translatable arm mount. The exercise machine comprises a cable coupled to the tension generating device via the arm.

A barbell comprising a bar member, a first side weight assembly and a second side weight assembly. The bar member has a first side sleeve region and a second side sleeve region opposite the first side sleeve region. The first side weight assembly includes a weight surface and extends over the first side sleeve region, and is rotatively coupled to the bar member through an inner and outer slidable engagement surface. The second side weight assembly includes a weight surface and extends over the second side sleeve region, and is rotatively coupled to the bar member through an inner and outer slidable engagement surface. The bar member includes a first and second surface enhanced region, the first surface enhanced region spanning a portion of the central region and the first side sleeve region, and with the second surface enhanced region spanning a portion of the central region and the second side sleeve region.

Provided is a highly reliable, cost-effective scattered object collection system that can determine the correct position of each scattered object on the ground, such as a ball, and efficiently collect scattered objects by reducing unnecessary traveling of an autonomous collector. The scattered object collection system includes an autonomous collector that performs a collecting operation by picking up balls B while traveling in a work area W and a collector management unit that manages the autonomous collector. The collector management unit acquires positional information on the autonomous collector, identifies an actual position where each ball B was picked up in the work area W using the acquired positional information, and allows the autonomous collector to perform a collecting operation in a place having a high density of balls B with higher priority than a place having a low density of balls B using the identified actual positional information on each ball B.

A sports projectile delivery system may control the operation of a launcher to cause an American football or other sports projectile to be delivered to a target location on a field. In some aspects, the system can track player movements on the field, e.g., through the use of a tracking device mounted on the player, enabling the ball etc. to be launched to a player in anticipation of where the player will go. The system may include additional customization and/or logging options, e.g., permitting a player to designate a body position (e.g., above the head or near the knees) for delivery of the ball, designate a speed or hang time for delivery, or provide player data and analytics to an online or otherwise connected database.

A sweat absorbing device includes at least one first strip which has a connection end, and the connection end is connected to a portion of the at least one first strip to form the at least one first strip as a loop. The at least one first strip is removably connected to the handlebar. A sweat absorbing pad has a top face for absorbing sweat, and a bottom face. The at least one first strip is removably connected to the bottom face of the sweat absorbing pad. The sweat absorbing pad can be adjusted relative to the stationary bike so as to properly absorb the rider's sweat.

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

An adjustable dumbbell system may include a handle assembly, at least one weight, at least one sensor, and a computing device. The at least one weight may be selectively fixedly connectable to the handle assembly. The least one sensor may be positioned on the handle assembly. The at least one sensor may be configured to detect a handle assembly attribute indicative of whether the at least one weight is fixedly connected to the handle assembly. The computing device may be in communication with the at least one sensor and may be configured to receive information regarding the handle assembly attribute from the at least one sensor.

Methods and apparatus for authorizing use of a mat processing device are disclosed. The disclosed process requests and receives a public customer identifier. If the public identifier is not on a “required” list, the process authorizes a mat processing despite payment not yet being confirmed and no private information being. If the public customer identifier is recognized by the system, the process requests and receives a private customer identifier, even though the mat processing has already been authorized. If the private identifier is associated with the public identifier, the customer's account is debited for the mat processing. If the private identifier does not correspond to the public identifier, and optionally an additional user confirmation attempt fails, the public identifier is placed on the “required” list, so subsequent attempts will not receive a “free” mat processing.

Provided is a training device capable of executing a plurality of operation modes, in which an operation rod is appropriately operated according to an operation mode. The training device includes the operation rod, a plurality of motors, a plurality of force detection units, and a plurality of first command calculation units. The operation rod allows a limb to move. The plurality of motors operate the operation rod in the direction of degree of freedom in which the operation rod can move. Each of the force detection units detects a corresponding force component and outputs a force component signal. The first command calculation units are connected to the corresponding force detection units. Each of the first command calculation units calculates a first motor control command on the basis of the corresponding force component signal.