Driver’s Activity Detection System using Humanantenna

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Sachin Paliwal
Birinderjit Singh Kalyan

Abstract

Now a days we can see that there are many cases which are occurring due to the drowsiness of drivers and that has become a main problem of the automotive industry. To overcome this in automotive industry the introduction of new technologies that is by introducing of new sensor which can detect the different activities. Detection of activities by sensors is for biological measuring such as heartbeat, oxygen level, respiration activity, etc. By applying such widespread variety of sensor usage in the system has a very high implementation cost and also very complexity which is a bit challenging design. In this paper, we are going study that how humantenna effect is used to detect and test the drive drowsiness by using simple and budget sensors in automotive industry.

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[1]
Sachin Paliwal and Birinderjit Singh Kalyan , Trans., “Driver’s Activity Detection System using Humanantenna”, IJEER, vol. 1, no. 3, pp. 4–6, Feb. 2024, doi: 10.54105/ijeer.C1007.051322.
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How to Cite

[1]
Sachin Paliwal and Birinderjit Singh Kalyan , Trans., “Driver’s Activity Detection System using Humanantenna”, IJEER, vol. 1, no. 3, pp. 4–6, Feb. 2024, doi: 10.54105/ijeer.C1007.051322.
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References

A M. Foreman, Y. Hayashi, J.E. Friedel, and O. Wirth, “Social distance

and texting while driving: A behavioral economic analysis of

social-707, Oct 2019. [CrossRef]

Goldenb Driver fatigue. ESRA2 Thematic report Nr. 4. ESRA project

(E- The Hague, Netherlands Institute for Road safety Research SWOV,

Celaya-Padilla, et. al., "“Tetfmg & Driving” Detection Using Deep

Convolutional Neural Networks." Applied Sciences, vol. 9, no. 15, p.

, Jan. 2019. [CrossRef]

Smith, Karly A., et. al., "Gesture recognition using mm-wave sensor for

human-car interface." IEEE sensors letters, vol. 2, no. 2, pp. 1-4, Feb.

[CrossRef]

Martinez, H., Sanabhuja, J., and Gameiro, P., “Heart and respiration

unobtrusive sensors integrated in the vehicle,” HARKEN project, 2013.

Fleming, Bill. "Advances in automotive electronics [automotive

electronics].” IEEE vehicular technology magazine, vol. 10, no. 4, Dec.

[CrossRef]

Zaouk, Abdullatif K., et. al., "Driver Alcohol Detection System for

Safety (DADSS^A Status Update" Proceedings of the 25th International

Technical Conference on the Enhance Safety of Vehicles, Paper

Number 17-0271, 2017.

Cohn, G.; Morris, D.; Patel, M.; Tan, D. Humantenna: using the body

as an antenna for real-time whole-body interaction. In Proceedings of

the SIGCHI Conference on Human Factors in Computing Systems (CHI

'12). ACM, New York, USA, 2012, pp. 1901-1910. [CrossRef]

B. C. Towe, “Bioelectricity and its measurement,” in Standard

handbook of biomedical engineering and design, McGraw-Hill, 2004.

Tawseef Ahmad Wani, Birinderjit Singh Kalyan. (2020).

Characterization of Junction and Junction-Less NMOS at Various

Parametric Changes. International Journal of Advanced Science and

Technology, 29(06), 8141-8151.

Kalyan, Birinderjit Singh, and Singh Balwinder. "Quantum dot cellular

automata (QCA) based 4-bit shift register using efficient JK flip flop."

International Journal of Pure and Applied Mathematics 118, no. 19

(2018): 143-157.

Becker, Jan C., and Andreas Simon. "Sensor and navigation data fusion

for an autonomous vehicle." In Proceedings of the IEEE Intelligent

Vehicles Symposium 2000 (Cat. No. 00TH8511), pp. 156-161. IEEE,

Fayyad, Jamil, Mohammad A. Jaradat, Dominique Gruyer, and

Homayoun Najjaran. "Deep learning sensor fusion for autonomous

vehicle perception and localization: A review." Sensors 20, no. 15

(2020): 4220. [CrossRef]

G. S. Maximous and H. A. Bastawrous, "Driver Drowsiness Detection

Based on Humantenna Effect for Automotive Safety Systems," 2020

IEEE 9th Global Conference on Consumer Electronics (GCCE), 2020,

pp. 391-392, doi: 10.1109/GCCE50665.2020.9291815. [CrossRef]

M. M. El-Barbary, G. S. Maximous, S. Tarek and H. A. Bastawrous,

"Validation of Driver Drowsiness Detection Based on Humantenna

Effect Using Facial Features," 2021 International Conference on

Microelectronics (ICM), 2021, pp. 216-219, doi:

1109/ICM52667.2021.9664899. [CrossRef]