Essays about: "Gesture Recognition"

Showing result 16 - 20 of 36 essays containing the words Gesture Recognition.

  1. 16. sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Alexander Olsson; [2018]
    Keywords : Electromyography; Machine Learning; Deep Learning; Gesture Recognition; Neural Networks; Technology and Engineering;

    Abstract : In myoelectric prosthesis design, there is often a trade-off between control robustness and range of executable movements. As a low movement error rate is necessary in any real application, this often results in a quite severe limitation on the dexterity of the user. READ MORE

  3. 17. Classification of social gestures : Recognizing waving using supervised machinelearning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Svante Rollenhagen; [2018]
    Keywords : ;

    Abstract : This paper presents an approach to gesture recognition including the use of a tool in order to extract certain key-points of the human body in each frame, and then processing this data and extracting features from this. The gestures recognized were two-handed waving and clapping. READ MORE

  4. 18. Personalized Dynamic Hand Gesture Recognition

    University essay from KTH/Medieteknik och interaktionsdesign, MID

    Author : Lei Wang; [2018]
    Keywords : Dynamic Gesture Recognition; Human Computer Interaction; Machine Learning;

    Abstract : Human gestures, with the spatial-temporal variability, are difficult to be recognized by a generic model or classifier that are applicable for everyone. To address the problem, in this thesis, personalized dynamic gesture recognition approaches are proposed. READ MORE

  5. 19. A novel shape matching descriptor for real-time hand gesture recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Michalis Lazarou; [2018]
    Keywords : ;

    Abstract : In object recognition applications in computer vision, feature information extractedfrom images is used to dierentiate between objects. One of the mostimportant features that can be extracted from an object is its shape. READ MORE

  6. 20. 3D Hand Pose Tracking from Depth Images using Deep Reinforcement Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sneha Saha; [2018]
    Keywords : ;

    Abstract : Low-cost consumer depth cameras have enabled reasonable 3D hand pose trackingfrom single depth images. Such 3D hand pose tracking can be an integralpart of many computer vision applications such as gesture recognition and humanactivity tracking. READ MORE