The relationship between humans and computers is called human-computer interaction (HCI). In the field of medical assistive technology specifically, hand gesture is considered a suitable method to convey information. Sick, physically handicapped, and elderly cannot move parts of their bodies or express their feelings with words. Vision-based hand gesture recognition generally consists of sample capturing, image reprocessing, feature extraction, and classification. Among these procedures feature extraction aims to detect and extract features that can be used to determine the meaning of a given hand gesture. The extracted features should be able to describe gestures uniquely and be robust to the shift and rotation of hand gestures in order to achieve reliable recognition. we proposed a method to extract a series of features based on convex defect detection, taking advantage of the close relationship between the convex defect and fingertips. This method is simple, efficient, and free from gesture direction and position.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The relationship between humans and computers is called human-computer interaction (HCI). In the field of medical assistive technology specifically, hand gesture is considered a suitable method to convey information. Sick, physically handicapped, and elderly cannot move parts of their bodies or express their feelings with words. Vision-based hand gesture recognition generally consists of sample capturing, image reprocessing, feature extraction, and classification. Among these procedures feature extraction aims to detect and extract features that can be used to determine the meaning of a given hand gesture. The extracted features should be able to describe gestures uniquely and be robust to the shift and rotation of hand gestures in order to achieve reliable recognition. we proposed a method to extract a series of features based on convex defect detection, taking advantage of the close relationship between the convex defect and fingertips. This method is simple, efficient, and free from gesture direction and position. 72 pp. Englisch. N° de réf. du vendeur 9786206738565
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gandham SandhyaSandhya GandhamWorking as an Assistant Professor in a reputed Engg. College, author proposed an application to recognize hand gestures using an inexpensive Raspberry Pi that helps patients or the elderly to perform dai. N° de réf. du vendeur 1046991002
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The relationship between humans and computers is called human-computer interaction (HCI). In the field of medical assistive technology specifically, hand gesture is considered a suitable method to convey information. Sick, physically handicapped, and elderly cannot move parts of their bodies or express their feelings with words. Vision-based hand gesture recognition generally consists of sample capturing, image reprocessing, feature extraction, and classification. Among these procedures feature extraction aims to detect and extract features that can be used to determine the meaning of a given hand gesture. The extracted features should be able to describe gestures uniquely and be robust to the shift and rotation of hand gestures in order to achieve reliable recognition. we proposed a method to extract a series of features based on convex defect detection, taking advantage of the close relationship between the convex defect and fingertips. This method is simple, efficient, and free from gesture direction and position. N° de réf. du vendeur 9786206738565
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The relationship between humans and computers is called human-computer interaction (HCI). In the field of medical assistive technology specifically, hand gesture is considered a suitable method to convey information. Sick, physically handicapped, and elderly cannot move parts of their bodies or express their feelings with words. Vision-based hand gesture recognition generally consists of sample capturing, image reprocessing, feature extraction, and classification. Among these procedures feature extraction aims to detect and extract features that can be used to determine the meaning of a given hand gesture. The extracted features should be able to describe gestures uniquely and be robust to the shift and rotation of hand gestures in order to achieve reliable recognition. we proposed a method to extract a series of features based on convex defect detection, taking advantage of the close relationship between the convex defect and fingertips. This method is simple, efficient, and free from gesture direction and position.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. N° de réf. du vendeur 9786206738565
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Taschenbuch. Etat : Neu. HAND GESTURE DETECTION AND RECOGNITION BUILDING SYSTEM | FOR PATIENTS | Sandhya Gandham | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206738565 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 127412774
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