Sökning: "Gesture controlled"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Gesture controlled.

  1. 1. A Design Science Study on Methods of Feedback for In-car Gesture-controlled Infotainment Systems

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Geoffrey Chen; Axel Verner; Daniel Arnqvist; [2019-11-12]
    Nyckelord :Feedback; Usability; Distraction; Auditory; Visual; Infotainment system; Gesture recognition; Gesture controlled; Comparison; Car; Driving; Safety;

    Sammanfattning : Navigating an in-car infotainment system by using gesture-control can be distracting, drivers usually seek for confirmation from the infotainment system by rapidly glancing at the screen and therefore reduce the eyes-on-the-road time, this can be dangerous. This study aims to evaluate whether if by applying both visual and auditory feedback from the infotainment system can reduce the distraction. LÄS MER

  2. 2. Modelling of Hand Gestures and Motions

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Erik Ingemarsson; [2019]
    Nyckelord :Radar; Gesture Recognition; Signal Processing; Technology and Engineering;

    Sammanfattning : Measuring the radar response has proven to be a valid input for neural networks used for gesture and motion recognition. Previous work have been based on measuring the radar response of hand gestures, but it has been shown that models based on the analytic expressions for basic objects are useful when simulating larger motions, such as pedestrians. LÄS MER

  3. 3. Hand Gesture Controlled Wheelchair

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM); KTH/Skolan för industriell teknik och management (ITM)

    Författare :Rebecca Nilsson; Almida Winquist de Val; [2019]
    Nyckelord :mechatronics; robot; Arduino; wheelchair; haptic steering.; mekatronik; robot; Arduino; rullstol; haptisk styrning.;

    Sammanfattning : Haptical technology is a field that is under constant development and that exists in many of today’s products, for example in VR-games and in the controls for vehicles. This kind of technology could in the same way simplify for disabled people by their being able to control a wheelchair using hand gestures. LÄS MER

  4. 4. A Wavelet-Based Surface Electromyogram Feature Extraction for Hand Gesture Recognition

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Axel Forsberg; [2018]
    Nyckelord :;

    Sammanfattning : The research field of robotic prosthetic hands have expanded immensely in the last couple of decades and prostheses are in more commercial use than ever. Classification of hand gestures using sensory data from electromyographic signals in the forearm are primary for any advanced prosthetic hand. LÄS MER

  5. 5. 3D Hand Pose Tracking from Depth Images using Deep Reinforcement Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sneha Saha; [2018]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER