Essays about: "gesture detection"
Showing result 1 - 5 of 8 essays containing the words gesture detection.
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1. Solutions for presence detection in an intercom door station
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : In this work, different solutions for human presence detection in a door intercom device are examined. The study was conducted at a company in Lund, Sweden. READ MORE
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2. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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3. Implementation and Evaluation of Gesture-less Mid-Air Interactions on a Stereoscopic Display
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolanAbstract : This report presents the work of a master thesis aimed at creating a modern stereoscopic mid-air interaction setup and developing and evaluating gesture-less mid-air interactions on said setup. A mid-air interaction system was created that combined OpenPose’s 2D hand joint detection with the depth data from an Intel depth camera to track a user’s hand position in three dimensions. READ MORE
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4. Modelling of Hand Gestures and Motions
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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. READ MORE
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5. Hand Segmentation from RGB Images in Uncontrolled Indoor Scenarios Using Randomized Decision Forests
University essay from KTH/Teknisk informationsvetenskapAbstract : Hand segmentation is an integral part of many computer vision applications suchas gesture recognition, human activity detection, hand-eye coordination anal-ysis, gaze detection etc. Many of these applications require a solution whichcan segment hands in real-time while working in low-capacity computing en-vironments. READ MORE