Detection of Kidnapping Using a Smartphone Acceleration Sensor and GPS Module

April 30, 2024  |  Vol.10, No.4  |  PP. 13-22  | PDF

AUTHORS:

Je-Seok Oh, Mobile Engineering Major, Kyungpook National University, South Korea

Jung-Ha Hwang, School of Electronic and Electrical Engineering, Kyungpook National University, South Korea

Doo-Hyun Choi, School of Electronics Engineering, Kyungpook National University, South Korea

KEYWORDS:

Kidnapping, Acceleration Sensor, Global Positioning System, Signal Magnitude Area, Signal Vector Magnitude, Speed

Abstract

Most of the previous studies on recognizing kidnapping situations dealt with video analysis based on cameras and location tracking using the Global Positioning System. However, video analysis has the disadvantage that it cannot obtain information from the camera’s blind spots, and the Global Positioning System has the problem that it provides only fragmentary information about the user’s location. This paper proposes a method for detecting kidnapping by vehicles, and the proposal overcomes the limitations of previous studies by employing comprehensive data from the 3-axis acceleration sensor and the Global Positioning System built into a smartphone. The proposed method analyzes the acceleration data obtained from smartphone users by two methods, which are called the Signal Magnitude Area and Signal Vector Magnitude, to classify smartphone users’ states and analyze the location information to determine if the smartphone user is kidnapped by vehicles. The experiment used the data collected by ourselves to verify our hypothesis, and the experimental results showed that the proposed method can detect kidnapping by vehicles with high accuracy. Acceleration sensors and the Global Positioning System have the advantage that they are easy to miniaturize. Thus, the method proposed in this paper can be effectively deployed to detect kidnapping by vehicles.

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References:

[1] https://kostat.go.kr/board.es?mid=a10301020600&bid=207&tag=&act=view&list_no=418448&ref_bid=, Oct 10 (2023)
[2] https://www.index.go.kr/unity/potal/indicator/IndexInfo.do?cdNo=2&clasCd=10&idxCd=F0009, Oct 10 (2023)
[3] https://safeatlast.co/blog/kidnapping-statistics/, Oct 26 (2023)
[4] https://www.index.go.kr/unity/potal/main/EachDtlPageDetail.do?idx_cd=1610#quick_04, Oct 10 (2023)
[5] https://www.index.go.kr/unity/potal/sdgs/5/SDGsIndicatorService.do?idxCd=G0080, Oct 10 (2023)
[6] D. H. Kwon, S. H. Jang, H. J. Mun, M. H. Chey, The Running Vibration Assessment of Daegu Metropolitan Transit using Smartphone Acceleration Sensor, Journal of Korea Convergence Society, (2019), Vol.10, No.6, pp.179-184.
DOI: 10.15207/JKCS.2019.10.6.179
[7] J. M. Park, K. R. Park, A Study on Smart Phone Real-Time Motion Analysis System using Acceleration and Gyro Sensors, Proceedings of the Korean Society of Computer and Information, Korean Society of Computer Information, (2013)
Available from: https://koreascience.kr/journal/CPTSA9/y2013m01a.page
[8] H. J. Shin, T. S. Song, Walking Behavior Analysis using Acceleration Sensor and Gyro Sensor of Smartphone, Proceedings of KIIT Conference, Korean Institute of Information Technology, (2018)
Available from: https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07467726
[9] Y. M. Kim, Y. G. Kim, S. Y. Son, S. Y. Lim, B. Y. Choi, D. H. Choi, Review of Recent Automated Pothole-Detection Methods, Applied Sciences, (2022), Vol.12, No.11, 5320.
DOI: 10.3390/app12115320
[10] J. H. Hwang, B. Cho, D. H. Choi, Feature Map Analysis of Neural Networks for the Application of Vacant Parking Slot Detection, Applied Sciences, (2023), Vol.13, No.18, 10342.
DOI: 10.3390/app131810342
[11] K. A. O. V. Kodikara, P. Hettiarachchi, D. M. J. Prathapa, J. M. A. M. S. Jayakody, P. S. Haddela, Surveillance based Child Kidnap Detection and Prevention Assistance, 2022 IEEE 7th International conference for Convergence in Technology, Institute of Electrical and Electronics Engineers, (2022)
DOI: 10.1109/I2CT54291.2022.9824093
[12] J. Saranya, J. Selvakumar, Implementation of Children Tracking System on Android Mobile Terminals, 2013 International Conference on Communication and Signal Processing, Institute of Electrical and Electronics Engineers, (2013)
DOI: 10.1109/iccsp.2013.6577199
[13] J. H. Park, K. Song, Y. Kim, A Kidnapping Detection Using Human Pose Estimation in Intelligent Video Surveillance Systems, Journal of the Korea Society of Computer and Information, (2018), Vol.23, No.8, pp.9-16.
DOI: 10.9708/jksci.2018.23.08.009
[14] A. Miyahara, I. Nagayama, An Intelligent Security Camera System for Kidnapping Detection, Journal of Advanced Computational Intelligence and Intelligent Informatics, (2013), Vol.17, No.5, pp.746-752.
DOI: 10.20965/jaciii.2013.p0746
[15] https://techcrunch.com/2013/10/09/guardian-uses-bluetooth-low-energy-tech-to-keep-your-child-safe/, Nov 17, (2023)
[16] H. Park, J. M. Park, Y. C. Ha, Implementation of Acceleration Sensor-based Human activity and Fall Classification Algorithm, The Journal of Korea Institute of Convergence Signal Processing, (2022), Vol.23, No.2, pp.76-83.
DOI: 10.23087/jkicsp.2022.23.2.004
[17] C. Y. Lim, K. M. Jeon, K. C. Ko, K. N. Koh, K. H. Kim, A Study on the Estimation of Energy Expenditure and falls measurement system for the elderly, Journal of the Korea Society of Computer and Information, (2012), Vol.17, No.4, pp.1-9.
DOI: 10.9708/jksci.2012.17.4.001
[18] Y. Usami, K. Ishikawa, T. Takayama, M. Yanagisawa, N. Togawa, Bicycle Behavior Recognition Using 3-Axis Acceleration Sensor and 3-Axis Gyro Sensor Equipped with Smartphone, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, (2019), Vol.E102.A, No.8, pp.938-945.
DOI: 10.1587/transfun.E102.A.938
[19] H. J. Shin, N. J. Kwak, T. S. Song, Detection The Behavior of Smartphone Users using Time-division Feature Fusion Convolutional Neural Network, Journal of the Korea Institute of Information and Communication Engineering, (2020), Vol.24, No.9, pp.1224-1230.
DOI: 10.6109/jkiice.2020.24.9.1224
[20] https://exbody.kr/company/news/speed_of_walk, Feb 15, (2024)
[21] https://www.bicyclelife.net/news/articleView.html?idxno=11234, Dec 21, (2023)
[22] D. Sathyamoorthy, S. Shafii, Z. F. M. Amin, A. Jusoh, S. Z. Ali, Evaluating the Effect of Global Positioning System (GPS) Satellite Clock Error via GPS Simulation, IOP Conference Series: Earth and Environmental Science, IOP Publishing, (2016)
DOI: 10.1088/1755-1315/37/1/012013
[23] S. J. Lee, Meta-Analysis on the Effects of Safety Education Program School Age Children, Journal of Learner-Centered Curriculum and Instruction, (2022), Vol.22, No.21, pp.197-208.
DOI: 10.22251/jlcci.2022.22.21.197

Citations:

APA:
Oh, J. S., Hwang, J. H., Choi, D. H. (2024). Detection of Kidnapping Using a Smartphone Acceleration Sensor and GPS Module. Asia-pacific Journal of Convergent Research Interchange (APJCRI), ISSN: 2508-9080 (Print); 2671-5325 (Online), KCTRS, 10(4), 13-22. doi: 10.47116/apjcri.2024.04.02.

MLA:
Oh, Je-Seok, et al. “Detection of Kidnapping Using a Smartphone Acceleration Sensor and GPS Module.” Asia-pacific Journal of Convergent Research Interchange, ISSN: 2508-9080 (Print); 2671-5325 (Online), KCTRS, vol. 10, no. 4, 2024, pp. 13-22. APJCRI, http://apjcriweb.org/content/vol10no4/2.html.

IEEE:
[1] J. S. Oh, J. H. Hwang, D. H. Choi, “Detection of Kidnapping Using a Smartphone Acceleration Sensor and GPS Module.” Asia-pacific Journal of Convergent Research Interchange (APJCRI), ISSN: 2508-9080 (Print); 2671-5325 (Online), KCTRS, vol. 10, no. 4, pp. 13-22, April 2024.


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