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- W2738551498 abstract "Gesture Recognition lies at the core of augmented reality based devices. This project tries to coalesce two disparate aspects of engineering which are image processing and embedded systems. The project aims at developing and algorithm for recogn izing static gestures using deterministic techniques and implementing these algorithms on an embedded platform. The first part of the project deals with the development of the algorithm. The underlying principle of the gesture recognition is singular value decomposition and normalized distances. These concepts are used in comparison and classification of query gestures with database gestures. Principal Component Analysis is used for dimensionality reduction and ease of calculations. Image processing techniq ues are used prior to computation to achieve background, illumination and scale invariant images. The database comprises of such preprocessed images stored with varying orientations. The other part of the project deals with setup of an embedded platform fo r the compilation and implementation of the algorithms. A DSP based board is configured to interface a camera and input devices. Software setup is done to support graphics and OpenCV. Compilation of the programs written from the algorithms is carried out o n the board. Thus, the project aims at standalone implementation of gesture recognition which sets the foundation for portable augmented reality." @default.
- W2738551498 created "2017-07-31" @default.
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- W2738551498 date "2014-12-29" @default.
- W2738551498 modified "2023-09-23" @default.
- W2738551498 title "DSP Based Gesture Recognition" @default.
- W2738551498 hasPublicationYear "2014" @default.
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