Abstract
Gesture recognition is a technology that uses optical character recognition to identify gestures, hand movements, etc. It has seen applications on various platforms like VR, AR, gaming consoles (Xbox Kinect), etc. The game of hand cricket has been very popular among school-going children. The game will allow the person to play a game of hand cricket against the computer. The system will use gesture recognition in real-time similar to that found in gaming consoles. Libraries like OpenCV help in real-time computer vision, convolutional neural network or CNN help in analysing the image. In our proposed work, we have developed a model that could recognize the gestures of a user correctly. To achieve this, we have implemented a classification model using an image classifier which groups a linear stack of layers into a Keras model. We have created our data set which consists of 1800 images in total. For every gesture, we have taken the 300 images using the webcam and converted those images into the binary image which consists of pixels that have only two colours.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Moher D, Liberati A, Tetzlaff J, Altman DG (2009) The PRISMA group preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097. https://doi.org/10.1371/journal.pmed.1000097
Nguyen HT, (2008) Adam K (2004) In: Gesture: visible action as utterance. UK: Cambridge University Press. pp 400. $32.32, Hardcover, ISBN 0–521–83525–9, Critical Inquiry in Lang Stud 5(1):72–77. https://doi.org/10.1080/15427580701340790
Prakash J, Gautam UK (2019) Hand gesture recognition. Int J Recent Technol Eng (IJRTE) 7(6C) ISSN: 2277–3878
Pinto RF, Borges CDB, Almeida AMA, Paula IC (2019) 10 October 2019 by Hindawi Limited in Journal of Electrical and Computer Engineering. J Electri Comput Eng 2019:1–12. https://doi.org/10.1155/2019/4167890
Oudah M, Al-Naji AA, Chahl J (2020) Hand gesture recognition based on computer vision: a review of techniques. J Imaging 6:73. https://doi.org/10.3390/jimaging6080073
Khan RZ, Ibraheem N (2012) Hand gesture recognition: a literature review. Int J Artif Intell Appl (IJAIA) 3:161–174. https://doi.org/10.5121/ijaia.2012.3412
Chen Z-H, Kim J-T, Liang J, Zhang J, Yuan Y-B (2014) Real-time hand gesture recognition using finger segmentation. Sci World J. 267872:9. https://doi.org/10.1155/2014/267872
Kaur P, Ganguly P, Verma S, Bansal N (2018) Bridging the communication gap: with real time sign language translation. In: 2018 IEEE/ACIS 17th international conference on computer and information science (ICIS), Singapore, Singapore, pp 485–490. https://doi.org/10.1109/ICIS.2018.8466546
Sushma L, Lakshmi KP (2020) An analysis of convolution neural network for image classification using different models. Int J Eng Res Technol (IJERT) 09(10)
Rahul B, Suyash G, Nilima K (2020) Diabetic retinopathy stage classification (May 2, 2020). In: 2nd International conference on communication and information processing (ICCIP) 2020, Available at SSRN https://ssrn.com/abstract=3645460 or https://doi.org/10.2139/ssrn.3645460
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kinge, A., Kulkarni, N., Devchakke, A., Dawda, A., Mukhopadhyay, A. (2022). Intelligent Hand Cricket. In: Tavares, J.M.R.S., Dutta, P., Dutta, S., Samanta, D. (eds) Cyber Intelligence and Information Retrieval. Lecture Notes in Networks and Systems, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-16-4284-5_33
Download citation
DOI: https://doi.org/10.1007/978-981-16-4284-5_33
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-4283-8
Online ISBN: 978-981-16-4284-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)