A novel set of features for continuous hand gesture recognition

Author:

Bhuyan M. K.,Ajay Kumar D.,MacDorman Karl F.,Iwahori Yuji

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Signal Processing

Reference14 articles.

1. Segouat J, Braffort A (2010) Toward modeling sign language coarticulation. Lecture Notes in Computer Science (Gesture in Embodied Communication and Human–Computer Interaction), vol 5934, pp 325–336

2. Yang R, Sarkar S (2006) Detecting coarticulation in sign language using conditional random fields. In: 18th international conference on pattern recognition (ICPR), vol 2, pp 108–112

3. Eisenstein J, Davis R (2005) Gestural Cues for Sentence Segmentation. Technical report, MIT AI Memo, pp 1–14

4. Lee HK, Kim JH (1999) An HMM-based threshold model approach for gesture recognition. IEEE Trans Pattern Anal Mach Intell 21(2):961–972

5. Bhuyan MK, Bora PK, Ghosh D (2011) An integrated approach to the recognition of a wide class of continuous hand gestures. Int J Pattern Recognit Artif Intell 25(2):227–252

Cited by 49 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hierarchical Semi-Supervised Learning Framework for Surgical Gesture Segmentation and Recognition Based on Multi-Modality Data;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

2. Handwriting Classification based on Hand Movement using ConvLSTM;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26

3. A coherent framework for simultaneous detection and spotting of the nucleus phase from the mid-air gesticulation of alphanumeric keys;Soft Computing;2023-05-02

4. H4VR: One-handed Gesture-based Text Entry in Virtual Reality Using a Four-key Keyboard;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

5. Motion-Based Representations for Trajectory-Based Hand Gestures: A Brief Overview;Proceedings of International Conference on Data, Electronics and Computing;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3