Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 102 for “"Gesture recognition"”.
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PEN-BASED GESTURE RECOGNITION
… idea, inspired us to devise a set of radial gestures for direct manipulation. A supporting set of gestures for text-editing was also adapted from Wolf and Morrel-Samuels’ work. By putting these two sets of gestures together, we can form a pen-based user interface to the Finder. Our …
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Template based gesture recognition
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Gesture Recognition in Tennis Biomechanics
The purpose of this study is to create a gesture recognition system that interprets motion capture data of a tennis player to determine which biomechanical aspects of a tennis swing best correlate to a swing efficacy. For our learning set this work aimed to record 50 tennis athletes of similar …
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Hand gesture recognition for multimedia applications
Hand gesture is potentially a very natural and useful modality for human-machine interaction. It is considered to be one of the most complicated and interesting challenges in computer vision due to its articulated structure and environmental variations. Solving such challenges requires robust hand …
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Interactive Imaging via Hand Gesture Recognition.
… of object, analysis and training phase, recognition and feedback. Generally speaking, the core issue is how we define the interesting object and track them more accurately in order to complete the interaction process successfully. This thesis proposes a novel dynamic simulation scheme for …
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Hidden Markov models for gesture recognition
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Machine Learning Techniques for Gesture Recognition
… this lies in the large emphasis humans place on gestures while communicating with each other and while interacting with machines. Such gestures can be digitized in a number of ways, including both passive methods, such as cameras, and active methods, such as wearable sensors. While passive …
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Improving gesture recognition through spatial focus of attention
Gestures are a common form of human communication and important for human computer interfaces (HCI). Most recent approaches to gesture recognition use deep learning within multi- channel architectures. We show that when spatial attention is focused on the hands, gesture recognition improves …
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Interactive exploration of historic information via gesture recognition
… D-Imager have become available enabling gesture based control of computer systems. These devices present an attractive input device for exhibits since the user can interact with their hands and they are not required to physically touch any part of the system. In this thesis we investigate …
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Hand Gesture Recognition and Face Detection in Images
Made available in DSpace on 2015-09-25T20:21:17Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9971227.pdf: 9034020 bytes, checksum: 1fc694284ceaaa444bebb4b3c9423704 (MD5) Previous issue date: 2000
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Gesture recognition with application to human-robot interaction
Gestures are a natural form of communication, often transcending language barriers. Recently, much research has been focused on achieving natural human-machine interaction using gestures. This dissertation presents the design of a gestural interface that can be used to control a robot. The system …
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Real-time hand gesture recognition in complex environments
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Hand and elbow gesture recognition based on electromyography signal
… that is involved in certain hand and elbow gestures. The Electromyography (EMG) data acquisition protocol is then outlined and performed where the recorded Electromyography (EMG) signal corresponds with certain hand and elbow gestures. Therefore, four hand gestures were targeted, “hand …
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Dynamic gesture recognition using transformation invariant hand shape recognition
… framework is presented for accurate real time gesture recognition. Our approach to develop a hand-shape classifier, trained using computer animation, along with its application in dynamic gesture recognition is described. The system developed operates in real time and provides accurate gesture …
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Hand gesture recognition and hand tracking for medical applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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Discriminative training of hidden Markov Models for gesture recognition
… mechanism will become more necessary. Isolated gesture recognition can be used to this end. Gesture recognition is a problem of modelling temporal data. Non-temporal models can be used for gesture recognition, but require that the signals be adapted to the models. For example, the requirement of …
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Real-time continuous gesture recognition for natural multimodal interaction
I have developed a real-time continuous gesture recognition system capable of dealing with two important problems that have previously been neglected: (a) smoothly handling two different kinds of gestures: those characterized by distinct paths and those characterized by distinct hand poses; and (b) …
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Multi-signal gesture recognition using body and hand poses
We present a vision-based multi-signal gesture recognition system that integrates information from body and hand poses. Unlike previous approaches to gesture recognition, which concentrated mainly on making it a signal signal, our system allows a richer gesture vocabulary and more natural …
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