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Users can make simple gestures to control or interact with devices without physically touching them. Many approaches have been made using cameras and computer vision algorithms to interpret sign language, however, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition ...
OMPL (Open Motion Planning Library) is a software package for computing motion plans using sampling-based algorithms.The content of the library is limited to motion planning algorithms, which means there is no environment specification, no collision detection or visualization.
Leap Motion, Inc. (formerly OcuSpec Inc.) [1] [2] was an American company, active from 2010 to 2019, that manufactured and marketed a computer hardware sensor device. The device supports hand and finger motions as input, analogous to a mouse, but requires no hand contact or touching.
The word "natural" is used because most computer interfaces use artificial control devices whose operation has to be learned. Examples include voice assistants, such as Alexa and Siri, touch and multitouch interactions on today's mobile phones and tablets, but also touch interfaces invisibly integrated into the textiles of furniture. [1]
SageMath - a system for algebra and geometry experimentation via Python. Scilab - free open-source software for numerical computation and simulation similar to MATLAB/Simulink. Sim4Life.lite - online version of Sim4Life that is free-of-charge for students for team-learning and online collaboration with classmates and teachers on limited size ...
Visual servoing, also known as vision-based robot control and abbreviated VS, is a technique which uses feedback information extracted from a vision sensor (visual feedback [1]) to control the motion of a robot. One of the earliest papers that talks about visual servoing was from the SRI International Labs in 1979.
Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.
Structure from motion (SfM) [1] is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with local motion signals. It is a classic problem studied in the fields of computer vision and visual perception. In computer vision, the problem of SfM is to design ...