A novel approach to human gesture recognition

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

doi:10.1109/SmartTechCon.2017.8358352

A novel approach to human gesture recognition

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

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017
Editors	Mallikarjuna M. Kodabagi, Sunilkumar S. Manvi, Vishwanath R. Hulipalled, S.K. Niranjan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	109-115
Number of pages	7
ISBN (Electronic)	9781538605684
DOIs	https://doi.org/10.1109/SmartTechCon.2017.8358352
Publication status	Published - 11-05-2018
Event	2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 - Bengaluru, India Duration: 17-08-2017 → 19-08-2017

Publication series

Name	Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017

Conference

Conference	2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017
Country/Territory	India
City	Bengaluru
Period	17-08-17 → 19-08-17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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

Access to Document

10.1109/SmartTechCon.2017.8358352

Cite this

Shahi, B., Goyal, M., Prema, K. V., & Reddy, N. V. S. (2018). A novel approach to human gesture recognition. In M. M. Kodabagi, S. S. Manvi, V. R. Hulipalled, & S. K. Niranjan (Eds.), Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 (pp. 109-115). (Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartTechCon.2017.8358352

Shahi, Bhavya ; Goyal, Mansi ; Prema, K. V. et al. / A novel approach to human gesture recognition. Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. editor / Mallikarjuna M. Kodabagi ; Sunilkumar S. Manvi ; Vishwanath R. Hulipalled ; S.K. Niranjan. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 109-115 (Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017).

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title = "A novel approach to human gesture recognition",

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.",

author = "Bhavya Shahi and Mansi Goyal and Prema, \{K. V.\} and Reddy, \{N. V.Subba\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017 ; Conference date: 17-08-2017 Through 19-08-2017",

year = "2018",

month = may,

day = "11",

doi = "10.1109/SmartTechCon.2017.8358352",

language = "English",

series = "Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "109--115",

editor = "Kodabagi, \{Mallikarjuna M.\} and Manvi, \{Sunilkumar S.\} and Hulipalled, \{Vishwanath R.\} and S.K. Niranjan",

booktitle = "Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017",

address = "United States",

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Shahi, B, Goyal, M, Prema, KV & Reddy, NVS 2018, A novel approach to human gesture recognition. in MM Kodabagi, SS Manvi, VR Hulipalled & SK Niranjan (eds), Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. 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. et al.
Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. ed. / Mallikarjuna M. Kodabagi; Sunilkumar S. Manvi; Vishwanath R. Hulipalled; S.K. Niranjan. Institute of Electrical and Electronics Engineers Inc., 2018. p. 109-115 (Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A novel approach to human gesture recognition

AU - Shahi, Bhavya

AU - Goyal, Mansi

AU - Prema, K. V.

AU - Reddy, N. V.Subba

PY - 2018/5/11

Y1 - 2018/5/11

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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DO - 10.1109/SmartTechCon.2017.8358352

M3 - Conference contribution

AN - SCOPUS:85048056641

T3 - Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017

SP - 109

EP - 115

BT - Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017

A2 - Kodabagi, Mallikarjuna M.

A2 - Manvi, Sunilkumar S.

A2 - Hulipalled, Vishwanath R.

A2 - Niranjan, S.K.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017

Y2 - 17 August 2017 through 19 August 2017

ER -

Shahi B, Goyal M, Prema KV, Reddy NVS. A novel approach to human gesture recognition. In Kodabagi MM, Manvi SS, Hulipalled VR, Niranjan SK, editors, 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. (Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017). doi: 10.1109/SmartTechCon.2017.8358352

A novel approach to human gesture recognition

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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