Hand Detection and Segmentation Schemes for Trajectory-guided Gesture Recognition

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dc.contributor.authorSarma, Debajit
dc.date.accessioned2023-02-20T07:38:55Z
dc.date.accessioned2023-10-20T07:26:58Z
dc.date.available2023-02-20T07:38:55Z
dc.date.available2023-10-20T07:26:58Z
dc.date.issued2022
dc.descriptionSupervisor: Bhuyan, M Ken_US
dc.description.abstractOne interesting field of research that has gained much attention in recent times is Gesture Recognition. In the context of human-computer non-verbal communication, the visual interface becomes important in establishing communication via understanding human intention from their behaviour, such as facial expressions, hand gestures, etc. With the increasing interest in human-computer interaction (HCI), there has been rapid growth in studies related to visionbased gesture recognition in recent years. Hand gesture recognition from visual images finds applications in areas like human-computer interaction, machine vision, sign language, virtual reality, augmented reality, and so on.en_US
dc.identifier.otherROLL NO.156102003
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/2296
dc.language.isoenen_US
dc.relation.ispartofseriesTH-2974;
dc.subjectELECTRONICS AND ELECTRICAL ENGINEERINGen_US
dc.titleHand Detection and Segmentation Schemes for Trajectory-guided Gesture Recognitionen_US
dc.typeThesisen_US
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PhD Theses (Electronics and Electrical Engineering)