This paper focuses on describing our method designed for both track 2 and track 3 at Looking at People (LAP) challenging [1]. We propose an action and gesture spotting system, which is mainly composed of three steps: (i) temporal segmentation, (ii) clip classification, and (iii) post processing. For track 2, we resort to a simple sliding window method to divide each video sequence into clips, w...

To control the spreading of corona virus there is a need to advance exchang- ing innovation for supplanting contactless switch. This project deals with design that has no-touch model works entirely on card gestures. smart switch includes sensor can detect movements and translates them into commands controlling lights, fans, various home appliances. The main idea build feasible device switching,...

With the development of artificial intelligence technology, human–computer interaction technology through gestures, images and voices has gradually become a hot topic for discussion. A modified Yolov5s gesture recognition method is proposed in field cooperation by optimizing network structure backbone, CNN replaced Ghostbottleneck module to increase target occlusion rate. Secondly, tensor stitc...

Wearable computing and Augmented Reality applications call for less obtrusive and more intuitive human computer interfaces than keyboards and mice. One way to realize such interfaces is using gestures, e.g., for pointing in order to replace the mouse. The less obtrusive way of gesture recognition is to use computer vision based methods. In this paper we present a computer vision-based gesture i...

We present a new framework for multimodal gesture recognition that is based on a multiple hypotheses rescoring fusion scheme. We specifically deal with a demanding Kinect-based multimodal data set, introduced in a recent gesture recognition challenge (ChaLearn 2013), where multiple subjects freely perform multimodal gestures. We employ multiple modalities, that is, visual cues, such as skeleton...

Touch, face, voice-recognition and movement sensors – all are part of an emerging field of computing often called natural user interface, or NUI. Interacting with technology in these humanistic ways is no longer limited to high-tech secret agents. Gesture recognition is the process by which gestures formed by a user are made known to the system. In completely immersive VR environments, the keyb...