Abstract
The paper presents a novel system for wheelchair maneuver to aid people suffering from limb-related paralysis. It features Iris Center Localization using Hough Transform for tracking the direction of eye gaze. The limitations observed with Hough transform in previous research works were resolved using Semantic Segmentation for improved detection of the Iris against the Sclera background. Hence, we have demonstrated how Deep Learning models can perform Semantic Segmentation for Object Detection. Our approach gave an accuracy of 99.2% and allowed the wheelchair to move with more precision due to the scope of calibration of the motor torque/speed with respect to the determined eye gaze estimate. Moreover, different methods to avoid object collision were studied and implemented. Further, we provide an abstract design for the proposed wheelchair.
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References
Anagha Dwajan, B., Sowmya, M.S., Bhavani, S., Priya Reddy, N., Usha, M.R.: 2020, Eye gaze controlled wheelchair. Int. J. Eng. Res. Technol. (IJERT) 9(5) (May 2020)
Sayali, G., Miss Samiksha, B., Miss. Nikeeta, S.: Smart wheelchair with object detection using deep learning. Int. Res. J. Eng. Technol. (IRJET) 6(12) Dec (2019)
Rajesh, A., Mantur, M.: Eyeball gesture controlled automatic wheelchair using deep learning. In: 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, Bangladesh, pp. 387–391 (2017). https://doi.org/10.1109/R10-HTC.2017.8288981
Sandhan, T., Choi, J.Y.: Anti-Glare: tightly constrained optimization for eyeglass reflection removal. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 2017, pp. 1675–1684. https://doi.org/10.1109/CVPR.2017.182
Li, Y., Brown, M.S.: Single image layer separation using relative smoothness. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 2014, pp. 2752–2759. https://doi.org/10.1109/CVPR.2014.346
Chang Shih, Y., Krishnan, D., Durand, F., Freeman, W.T.: Reflection removal using ghosting cues. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp 3193–3201. https://doi.org/10.1109/CVPR.2015.7298939
Levin, A., Weiss, Y.: User assisted separation of reflections from a single image using a sparsity prior. IEEE Trans. Pattern Anal. Mach. Intell. 29(9), 1647–1654 (2007). https://doi.org/10.1109/TPAMI.2007.1106. Sept
Bramhe, M.V., Vijay, N., Bhagyashree Rao, K.: Voice controlled wheelchair for physically disabled person. Int. J. Adv. Res. Electr. Electron. Instrument. Eng. 6(2) February (2017)
Naga Rajesh, A., Chandralingam, S., Anjaneyulu, T., Satyanarayana, K.: EOG Controlled Motorized Wheelchair for Disabled Persons. World Acad Sci. Eng. Technol. Int. J. Medical, Health, Biomed. Pharmaceut. Eng. 8(5) (2014)
Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015, 3431–3440 (2015). https://doi.org/10.1109/CVPR.2015.7298965
Mukhopadhyay, P., Chaudhuri, B.B.: A survey of hough transform. Pattern Recogn. 48 (3), 993–1010 (2015). ISSN 0031–3203
Xiong, J., Xu, W., Liao, W., Wang, Q., Liu, J., Liang, Q.: Eye control system base on ameliorated hough transform algorithm. IEEE Sens. J. 13(9), 3421–3429 (2013). https://doi.org/10.1109/JSEN.2013.2262934. Sept
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Aditya, H., Chawla, V., Maheswari, R., Keskar, A.G. (2022). IRIS Position-Based Wheelchair Maneuver Using Semantic Segmentation. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_49
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DOI: https://doi.org/10.1007/978-981-16-6616-2_49
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