A school violence detection algorithm based on a single MEMS sensor

Jifu Shi; Liang Ye; Hany Ferdinando; Tapio Seppänen; Esko Alasaarela

doi:10.1007/978-981-13-6508-9_57

A school violence detection algorithm based on a single MEMS sensor

Jifu Shi
, Liang Ye^*
, Hany Ferdinando
, Tapio Seppänen
, Esko Alasaarela

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology
University of Oulu
Petra Christian University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

School violence has become more and more frequent in today’s school life and caused great harm to the social and educational development in many countries. This paper used a MEMS sensor which is fixed on the waist to collect data and performed feature extraction on the acceleration and gyro data of the sensors. Altogether nine kinds of activities were recorded, including six daily-life kinds and three violence kinds. A filter-based Relief-F feature selection algorithm was used and Radial Basis Function (RBF) neural network classifier was applied on them. The results showed that the algorithm could distinguish physical violence movements from daily-life movements with an accuracy of 90%.

Original language	English
Title of host publication	Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3
Subtitle of host publication	Systems
Editors	Qilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang
Publisher	Springer Verlag
Pages	474-481
Number of pages	8
ISBN (Print)	9789811365072
DOIs	https://doi.org/10.1007/978-981-13-6508-9_57
State	Published - 2020
Externally published	Yes
Event	International Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, China Duration: 14 Jul 2018 → 16 Jul 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	517
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Communications, Signal Processing, and Systems, CSPS 2018
Country/Territory	China
City	Dalian
Period	14/07/18 → 16/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Activity recognition
MEMS accelerometer
RBF neural network
Relief-F
School violence

Access to Document

10.1007/978-981-13-6508-9_57

Cite this

Shi, J., Ye, L., Ferdinando, H., Seppänen, T., & Alasaarela, E. (2020). A school violence detection algorithm based on a single MEMS sensor. In Q. Liang, X. Liu, Z. Na, W. Wang, J. Mu, & B. Zhang (Eds.), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems (pp. 474-481). (Lecture Notes in Electrical Engineering; Vol. 517). Springer Verlag. https://doi.org/10.1007/978-981-13-6508-9_57

Shi, Jifu ; Ye, Liang ; Ferdinando, Hany et al. / A school violence detection algorithm based on a single MEMS sensor. Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. editor / Qilian Liang ; Xin Liu ; Zhenyu Na ; Wei Wang ; Jiasong Mu ; Baoju Zhang. Springer Verlag, 2020. pp. 474-481 (Lecture Notes in Electrical Engineering).

@inproceedings{6a0d556cdfa44aafb3873562fd27e2a5,

title = "A school violence detection algorithm based on a single MEMS sensor",

abstract = "School violence has become more and more frequent in today{\textquoteright}s school life and caused great harm to the social and educational development in many countries. This paper used a MEMS sensor which is fixed on the waist to collect data and performed feature extraction on the acceleration and gyro data of the sensors. Altogether nine kinds of activities were recorded, including six daily-life kinds and three violence kinds. A filter-based Relief-F feature selection algorithm was used and Radial Basis Function (RBF) neural network classifier was applied on them. The results showed that the algorithm could distinguish physical violence movements from daily-life movements with an accuracy of 90\%.",

keywords = "Activity recognition, MEMS accelerometer, RBF neural network, Relief-F, School violence",

author = "Jifu Shi and Liang Ye and Hany Ferdinando and Tapio Sepp{\"a}nen and Esko Alasaarela",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2020.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",

year = "2020",

doi = "10.1007/978-981-13-6508-9\_57",

language = "英语",

isbn = "9789811365072",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "474--481",

editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",

booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3",

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}

Shi, J, Ye, L, Ferdinando, H, Seppänen, T & Alasaarela, E 2020, A school violence detection algorithm based on a single MEMS sensor. in Q Liang, X Liu, Z Na, W Wang, J Mu & B Zhang (eds), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. Lecture Notes in Electrical Engineering, vol. 517, Springer Verlag, pp. 474-481, International Conference on Communications, Signal Processing, and Systems, CSPS 2018, Dalian, China, 14/07/18. https://doi.org/10.1007/978-981-13-6508-9_57

A school violence detection algorithm based on a single MEMS sensor. / Shi, Jifu; Ye, Liang; Ferdinando, Hany et al.
Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. ed. / Qilian Liang; Xin Liu; Zhenyu Na; Wei Wang; Jiasong Mu; Baoju Zhang. Springer Verlag, 2020. p. 474-481 (Lecture Notes in Electrical Engineering; Vol. 517).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A school violence detection algorithm based on a single MEMS sensor

AU - Shi, Jifu

AU - Ye, Liang

AU - Ferdinando, Hany

AU - Seppänen, Tapio

AU - Alasaarela, Esko

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2020.

PY - 2020

Y1 - 2020

N2 - School violence has become more and more frequent in today’s school life and caused great harm to the social and educational development in many countries. This paper used a MEMS sensor which is fixed on the waist to collect data and performed feature extraction on the acceleration and gyro data of the sensors. Altogether nine kinds of activities were recorded, including six daily-life kinds and three violence kinds. A filter-based Relief-F feature selection algorithm was used and Radial Basis Function (RBF) neural network classifier was applied on them. The results showed that the algorithm could distinguish physical violence movements from daily-life movements with an accuracy of 90%.

AB - School violence has become more and more frequent in today’s school life and caused great harm to the social and educational development in many countries. This paper used a MEMS sensor which is fixed on the waist to collect data and performed feature extraction on the acceleration and gyro data of the sensors. Altogether nine kinds of activities were recorded, including six daily-life kinds and three violence kinds. A filter-based Relief-F feature selection algorithm was used and Radial Basis Function (RBF) neural network classifier was applied on them. The results showed that the algorithm could distinguish physical violence movements from daily-life movements with an accuracy of 90%.

KW - Activity recognition

KW - MEMS accelerometer

KW - RBF neural network

KW - Relief-F

KW - School violence

UR - https://www.scopus.com/pages/publications/85068358365

U2 - 10.1007/978-981-13-6508-9_57

DO - 10.1007/978-981-13-6508-9_57

M3 - 会议稿件

AN - SCOPUS:85068358365

SN - 9789811365072

T3 - Lecture Notes in Electrical Engineering

SP - 474

EP - 481

BT - Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3

A2 - Liang, Qilian

A2 - Liu, Xin

A2 - Na, Zhenyu

A2 - Wang, Wei

A2 - Mu, Jiasong

A2 - Zhang, Baoju

PB - Springer Verlag

T2 - International Conference on Communications, Signal Processing, and Systems, CSPS 2018

Y2 - 14 July 2018 through 16 July 2018

ER -

Shi J, Ye L, Ferdinando H, Seppänen T, Alasaarela E. A school violence detection algorithm based on a single MEMS sensor. In Liang Q, Liu X, Na Z, Wang W, Mu J, Zhang B, editors, Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. Springer Verlag. 2020. p. 474-481. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-13-6508-9_57

A school violence detection algorithm based on a single MEMS sensor

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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