A novel approach to human gesture recognition

Bhavya Shahi, Mansi Goyal, K. V. Prema, N. V.Subba Reddy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Gesture recognition with its many possible applications in fields like surveillance, human computer interaction etc. has become an important topic in research today. It is difficult to achieve high accuracies in real scenarios due to the large number of human gestures present, the possibility of noise in the video etc. In this paper, a new method of gesture recognition is proposed, that includes foreground detection, detection of the human figures, and gesture recognition. Several techniques for preprocessing such as Canny Edge Detector, Gabor filter, and Otsu thresholding have been compared, and the results are discussed. In general Gabor filter finally gave better results for gesture recognition.

Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-115
Number of pages7
ISBN (Electronic)9781538605684
DOIs
Publication statusPublished - 11-05-2018
Event2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 - Bengaluru, India
Duration: 17-08-201719-08-2017

Conference

Conference2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017
CountryIndia
CityBengaluru
Period17-08-1719-08-17

Fingerprint

Gesture recognition
Gabor filters
Human computer interaction
Detectors
Filter
Surveillance
Scenarios
Human-computer interaction

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

Cite this

Shahi, B., Goyal, M., Prema, K. V., & Reddy, N. V. S. (2018). A novel approach to human gesture recognition. In Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 (pp. 109-115). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartTechCon.2017.8358352
Shahi, Bhavya ; Goyal, Mansi ; Prema, K. V. ; Reddy, N. V.Subba. / A novel approach to human gesture recognition. Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 109-115
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Shahi, B, Goyal, M, Prema, KV & Reddy, NVS 2018, A novel approach to human gesture recognition. in Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. Institute of Electrical and Electronics Engineers Inc., pp. 109-115, 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017, Bengaluru, India, 17-08-17. https://doi.org/10.1109/SmartTechCon.2017.8358352

A novel approach to human gesture recognition. / Shahi, Bhavya; Goyal, Mansi; Prema, K. V.; Reddy, N. V.Subba.

Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 109-115.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Gesture recognition with its many possible applications in fields like surveillance, human computer interaction etc. has become an important topic in research today. It is difficult to achieve high accuracies in real scenarios due to the large number of human gestures present, the possibility of noise in the video etc. In this paper, a new method of gesture recognition is proposed, that includes foreground detection, detection of the human figures, and gesture recognition. Several techniques for preprocessing such as Canny Edge Detector, Gabor filter, and Otsu thresholding have been compared, and the results are discussed. In general Gabor filter finally gave better results for gesture recognition.

AB - Gesture recognition with its many possible applications in fields like surveillance, human computer interaction etc. has become an important topic in research today. It is difficult to achieve high accuracies in real scenarios due to the large number of human gestures present, the possibility of noise in the video etc. In this paper, a new method of gesture recognition is proposed, that includes foreground detection, detection of the human figures, and gesture recognition. Several techniques for preprocessing such as Canny Edge Detector, Gabor filter, and Otsu thresholding have been compared, and the results are discussed. In general Gabor filter finally gave better results for gesture recognition.

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Shahi B, Goyal M, Prema KV, Reddy NVS. A novel approach to human gesture recognition. In Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 109-115 https://doi.org/10.1109/SmartTechCon.2017.8358352