Smart Wheelchair Remotely Controlled by Hand Gestures

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Research in Intelligent and Computing in Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1254))

Abstract

The main objective of this paper is to generate a hand gesture-controlled smart wheelchair for those physically challenged people who are incapable to move from one place to another in day-to-day life. Hand gesture-controlled wheelchair is a special kind of movable device which can control the motion of wheelchair at right direction through the hand movements of any person. This type of wheelchair is a blessing for those people who are not capable to move their lower limbs and are fully dependent on the caretaker for their activities. The proposed system can be categorized into two parts: gesture unit and wheelchair unit. A three-axis accelerometer ‘Micro-Electro-Mechanical Systems (MEMS)’ is used here as a sensor which is connected to the hand and sends the position of the hand to the microcontroller Arduino Lilypad. On the basis of data gathered from the accelerometer, microcontroller drives the signal to move the wheelchair in the desirable direction.

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References

  1. Mazo M, Rodriguez FJ, Lázaro JL, Ureña J, Garcia JC, Santiso E, Garcia JJ et al (1995) Wheelchair for physically disabled people with voice, ultrasonic and infrared sensor control. Autonomous Robots 2(3):203–224

    Article  Google Scholar 

  2. Gautam G, Sumanth G, Karthikeyan KC, Sundar S, Venkataraman D (2014) Eye movement based electronic wheelchair for physically challenged persons. Int J Sci Technol Res 3(2):206–212

    Google Scholar 

  3. Asgar M, Badra M, Irshad K, Aftab S (2013) Automated innovative wheelchair. Int J Information Tech Converg Serv 3(6):1

    Google Scholar 

  4. Sideridis V, Zacharakis A, Tzagkarakis G, Papadopouli M (2019, September) Gesture keeper: gesture recognition for controlling devices in IoT environments. In: 2019 27th European Signal Processing Conference (EUSIPCO), pp 1–5. IEEE

    Google Scholar 

  5. Teotia P, Srivastav A, Varshney N, Kanaujia J, Singh A, Singh RK (2019) Gesture controlled vehicle for military purpose. Int J Adv Res Dev 4(4):42–44

    Google Scholar 

  6. Chuang WC, Hwang WJ, Tai TM, Huang DR, Jhang YJ (2019) Continuous finger gesture recognition based on flex sensors. Sensors 19(18):3986

    Article  Google Scholar 

  7. Cechowicz R, Bogucki M (2019) Indoor vehicle tracking with a smart MEMS sensor. In: MATEC web of conferences, vol 252, p 02004. EDP Sciences

    Google Scholar 

  8. Mishra MK, Dubey V, Mishra PM, Khan I (2019) MEMS technology: a review. J Eng Res Rep, pp 1–24

    Google Scholar 

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Correspondence to Hemlata Sharma .

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Sharma, H., Mathur, N. (2021). Smart Wheelchair Remotely Controlled by Hand Gestures. In: Kumar, R., Quang, N.H., Kumar Solanki, V., Cardona, M., Pattnaik, P.K. (eds) Research in Intelligent and Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1254. Springer, Singapore. https://doi.org/10.1007/978-981-15-7527-3_71

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