Digital Forensics and Internet of Things. Группа авторов

circuit diagram. We used the Arduino IDE for programming for the desired outcomes.

The proposed implementation is affordable and reliable as far as utilization is concerned. This gesture-based hand gloves to drive the wheelchair have many merits over the conventional wheelchair or SOS facility.

      3.2.1 Data Analysis

The aim of this effort is to evaluate the efficiency of the finger’s motion and to use the accelerometer to adjust the wheelchair’s direction based on its finger. During the experiment, if the finger moves to the correct right hand, the wheelchair will move right, while if the finger moves to the wrong side, the wheelchair will move left. As shown in Table 3.1, wheelchair inventions can be operated in four directions: forward, reverse, left, and right.

      Table 3.1 shows how we use an algorithm to regulate the motion of a wheelchair. The method is very simple, as previously mentioned, for a wheelchair whose motion is controlled with your index finger. The system was carried out with the same finger posture for the purpose of referring to it as the stable movement or “neutral position”. The wheelchair is propelled by electric motors that are operated by hand gloves that have a movement sensing system attached to them and are set to start mode.

3.3 Conclusion

The plan sets out to design and build a simple sensor microcontroller-based technology that had never been used in a wheelchair environment before. The aim of this work is to create an easily controllable, low-cost, and low-power wheelchair to bridge the communication gap between physically disabled, deaf, and mute people and the public. A wheelchair offers a disabled person fresh hope for living a full life. It instills in them the courage to function independently. This proposed work helps such communities to regain their confidence and makes them to do some tasks independently. It also acts as a personal assistant as well as SOS. Since the wheelchair is fully automated, it reduces the effort and physical strength of the disabled person. It can carry the load up to 100 kg.

Table 3.1 Algorithm setting for wheelchair direction.

Index finger	Input from Arduino				Directions
	D1	D2	D3	D4
Stable 0°	0	0	0	0	No movement
Bend to Right 45°	0	0	0	1	Right movement
Bend to Left 45°	0	0	1	0	Left movement
Bend to Backward 45°	1	0	0	0	Reverse movement
Bend to Forward 45°	0	1	0	0	Forward movement

3.4 Future Scope

      The future scope of this work is to use this gesture-based wheelchair in old age homes where the implementation will be useful for the people who find difficulty in their movements. This can be improved by many advancements such as, for physically challenged people who are unable to move their hands, they may have a wheelchair developed with a tongue motion driver to drive the wheelchair’s motors. It is also possible to have a speed control feature. For safety measures, we can implement high-power sensor like ultrasonic sensor for object detection. Self-power generation from the rotation of the wheel could be possible in the future, with the device being charged by solar power. Therefore, the stress associated with charging the battery may be alleviated. Artificial Intelligence can also be included to make wheelchair more technically advance.

References

1. Pande, Prof. V. V., Ubale, N.S., Masurkar, D.P., Ingole, N.R., Mane, P.P., Yaman, F., Lin, Q., Agrawal, G.P., Hand Gesture Based Wheelchair Movement Control for Disabled Person Using MEMS. Int. J. Eng. Res. Appl., Vol. 4, 4(Version4), 152–158, April 2014. Available: www.ijera.com (Accessed, Nov. 10, 2014) (13).

      2. Kazerooni, H., Fairbanks, D., Chen, A., Shin, G., The Magic Glove, University of California Berkeley, Berkeley, California, 2006.

      3. Zimmerman, T.G. et al., A Hand Gesture Interface Device. II Proc. Human Facttors in Computing System and Graphics Interface, ACM Press, New York, April 1987.

      4. Anoop, K.J., Ezhilan, I., Raj, S., Seenivasan, R., Pandian, C., Designing and modeling of controlled wheel chair incorporated with home automation. Int. J. Adv. Res. Electr. Electron. Instrum. Eng., AnISO 3297:2007 Certified Organization). 3, 2, 2014.

      5. S. Interactive Glove - International Journal of Industrial Electronics and Electrical Engineering,

      6. International Journal of Engineering and Computer Science, 4, 9, pp. 14439–14442, Sep 2015.

      7. World Health Organization, World report on disability, 2011.

      8. Chowdhury, SM Mazharul Hoque, Smart wheelchair for disabled people, Diss. Jahangirnagar University, 2019.

      9. Warad, S., Hiremath, V., Dhandargi, P., Bharath, V., Bhagavati, P.B., Speech and flex sensor-controlled wheelchair for physically disabled people. Proceedings of 10th IRF International Conference, Pune, India, 01st June-2014.

      10. Shayban, N. and Muhammad, A.G.K., Wireless Head Gesture Controlled Wheelchair for Disable Persons presented by Shayban Nasif & Muhammad Abdul Goffar Khan (EEE Department Rajshahi University).

      ^* Corresponding author: [email protected]