Example implementations relate to tracking objects such as, for example, sport participants using a combination of LIDAR and visual camera image data.

A system and method for human motion detection and tracking are disclosed. In one embodiment, an optical sensing instrument monitors a stage. A memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures a depth frame from the optical sensing instrument. The depth frame may include at each image element first coordinate values including a point related to a distance from the optical sensing instrument. The depth frame is converted into a designated depth frame format, which includes at each image element second coordinate values relative to the depth frame. Probability distribution models are applied to the designated depth frame format to identify a respective plurality of body parts. The position of each of the respective plurality of body parts in the designated depth frame is calculated as is the position of each of the plurality of body parts in the depth frame.

The present disclosure provides a rotation estimation device including an acquisition section and a rotation estimation section.

A training machine assembly comprises at least one control device and at least one training resistance. Each of the at least one training resistance comprises at least one training resistance value, such as a force applied towards the user contact element, e.g. a handle. The training resistance value can also comprise a function or a vector, for example a function linking a speed of movement of a user and/or a user contact element and a force applied against said movement. The control device can be a control device for controlling the training machine assembly. The training resistance can comprise an actuator. The actuator can comprise an electric motor. The training resistance can comprise a weight. The training resistance can comprise an element configured to provide a resistance against a movement of the user. The training machine assembly can comprise at least one camera.

Good health is one of the paramount essentials for any human being. A method and system for assessing and improving wellness of a person using body gestures have been provided. The system is configured to address fitness, wellness and physical movement related problems for both the abled and the differently abled society. The disclosure provides an intelligent and adaptive system that will comprehend the gestures and postures of the person to assess his capability of undertaking wellness activities. The person's movement capabilities and the environment are learnt by the system to track the gestures for the activities. Based on his gestures, the extent of activity achievement is calculated. The system also has the feature of provisioning dynamic activities to the person based on prior attempts and levels of achievements. Additionally, the system also providing the fitness routine in an AR environment by human-to-object mapping through object detection and augmentation.

A motorized lifting rack that selectively lifts and lowers a barbell through linear actuators is provided. The powered lifting rack can engage a barbell at floor level. The linear actuators can also selectively raise and lower safety bars design to “spot” the barbell for a single user. The powered lifting rack is embodied in a system that includes a platform that the safety bars can nest in. The platform provides a plurality of actuating benches for a user of the barbell to utilize.

A recognition method executed by a processor, includes: acquiring positional relation between a plurality of sensors each of which senses a distance to an object; provisionally classifying an orientation of the object relative to each individual sensor included in the sensors into one of a plurality of classifications based on sensing data acquired by the individual sensor; calculating likelihood of each combination corresponding to the positional relation between the sensors based on a result of provisional classification of the orientation of the object relative to the individual sensor; and classifying the orientation of the object corresponding to each individual sensor in accordance with the calculated likelihood of each combination.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Provided is a technique with which a batter who is practicing batting with a tee can acknowledge how the batter should change his/her hitting posture. An information processing device includes a processor that executes: (a) continuously measuring, according to either or both of output signals from a motion sensor and a force plate, a posture of a batter who is practicing batting with a tee; (b) determining, according to an output signal from a force sensor internally stored in the tee, a timing at which the batter hits a ball placed at the tee; (c) determining, as a hitting posture of the batter, a posture of the batter at the determined timing; and (d) outputting a message instructing the batter to change the batter's hitting posture, according to information indicating an exemplary hitting posture and information indicating the determined batter's hitting posture.

The present disclosure relates to methods and devices for custom fitting golf clubs to golfers using analysis of golf swing mechanics and data obtained from the golfer being fitted in addition to extrinsic data correlations.