Sains Malaysiana 44(12)(2015): 1661–1669

 

Angular Velocity and Elevation Angle: The Proposed Human Model Scalable Tracking Model using Linear Regression

(Halaju Sudut dan Sudut Ketinggian: Cadangan Model Manusia dengan Model

Pengesanan Berskala menggunakan Regresi Linear)

 

CHING YEE YONG*, RUBITA SUDIRMAN & KIM MEY CHEW

Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor Darul Takzim

Malaysia

 

Diserahkan: 29 September 2014/Diterima: 23 Jun 2015

 

ABSTRACT

A scalable tracking human model was proposed for recognizing human jogging and walking activities. The model aims to detect and track a particular subject by using wearable sensor. Data collected are in accelerometer readings in three axes and gyroscope readings in three axes. The development of proposed human model is based on the moderating effects on human movements. Two moderators were proposed as the moderating factors of human motion and they are angular velocity and elevation angle. Linear regression is used to investigate the relationship among inputs, moderators and outputs of the model. The result of this study showed that the angular velocity and elevation angle moderators are affecting the relation of research output. Acceleration in x-axis (Ax) and angular velocity in y-axis (Gy) are the two main components in directing a motion. Classification between jogging and walking motions was done by measuring the magnitude of angular velocity and elevation angle. Jogging motion was classified and identified with larger angular velocity and elevation angle. The two proposed hypotheses were supported and proved by research output. The result is expected to be beneficial and able to assist researcher in investigating human motions.

 

Keywords: Angular velocity; elevation angle; moderator; motion

 

ABSTRAK

Sebuah model pengesanan manusia berskala telah dicadangkan untuk mengenal pasti aktiviti manusia semasa berjoging dan berjalan. Model ini bertujuan untuk mengesan dan menjejaki sesuatu subjek dengan menggunakan sensor dipakai pada badan. Data yang dikumpul adalah bacaan pecutan tiga paksi dan bacaan giroskop tiga paksi. Pembangunan model manusia ini adalah berdasarkan kepada kesan penyederhanaan terhadap pergerakan manusia. Dua moderator telah dicadangkan sebagai faktor sederhana gerakan manusia dan mereka adalah sudut halaju dan sudut ketinggian. Regresi linear digunakan untuk mengkaji hubungan antara input, moderator dan output model. Hasil kajian ini menunjukkan bahawa sudut halaju dan sudut ketinggian moderator memberi kesan kepada hubungan output penyelidikan. Pecutan dalam x-paksi (Ax) dan sudut halaju dalam paksi y-(Gy) adalah dua komponen utama dalam mengarahkan usul. Pengelasan antara berjoging dan berjalan dilakukan dengan mengukur magnitud sudut halaju dan sudut ketinggian. Gerakan berjoging diklasifikasikan dan dikenal pasti dengan sudut halaju dan sudut ketinggian yang lebih besar. Kedua-dua hipotesis yang dicadangkan disokong dan dibuktikan oleh hasil penyelidikan. Hasil kajian dijangka memberi manfaat dan dapat membantu penyelidik dalam mengkaji usul manusia.

 

Kata kunci: Moderator; pergerakan; sudut halaju; sudut ketinggian

RUJUKAN

Amery, D.W. & Bruno, D.Z. 2008. Understanding and using mediators and moderators. Soc. Indic. Res. Springer Science Business Media B.V. 87: 367-392.

Byrne, P.J., Paul, R. & Cathal, H. 2013. Sustainable logistics: A literature review and exploratory study of Irish based manufacturing organizations. International Journal of Engineering and Technology Innovation 3(3): 200-213.

Chen, S.X., Yin, S.Y., Wei, X.F. & Peng, A.L. 2013. A comparative experimental study on head-disk touch-down detectability based on off-track vibration. International Journal of Engineering and Technology Innovation 3(4): 271-278.

Chen, Y.L & Shi, X.Z. 2012. Applications of health management using android and RFID. International Journal of Engineering and Technology Innovation 2(3): 216-225.

Johansson, G. 1973. Visual perception of biological motion and a model for its analysis. Perception & Psychophysics 14(2): 201-211.

Keshavarz, M.H. 2005. Correlations for predicting detonation temperature of pure and mixed CNO and CHNO explosives. Indian J. Eng. Mater. Sci. 12: 158-164.

Novacheck, T.F. 1998. The biomechanics of running. Gait & Posture 7(1): 77-95.

Ojolo, S.J., Ismail, S.O. & Apeh, E.S. 2012. Mathematical modelling of leachate production from waste contained site. International Journal of Engineering and Technology Innovation 2(3): 195-206.

Preston, B. 1980. How to Animate Film Cartoons. USA: Walter Foster Publishing.

Rajamanickam, N. & Balusamy, V. 2008. Effects of process parameters on mechanical properties of friction stir welds using design of experiments. Indian J. Eng. Mater. Sci. 15: 293-299.

Reuben, M.B. & David, A.K. 1986. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 1(6): 1173-1182.

Song, X., Teng, D., Qian, L.D. & Shi, X.C. 2013. A modeling & simulation framework for large-scale simulation. International Journal of Engineering and Technology Innovation 2(4): 265-272.

Sumrit, D., Anuntavoranich, P. & Kullpattaranirun, T. 2013. A hybrid multi-criteria decision model for technological innovation capability assessment: Research on Thai automotive parts firms. International Journal of Engineering and Technology Innovation 3(1): 20-37.

Yong, C.Y., Sudirman, R., Mahmood, N.H., & Chew, K.M. 2013a. Comparison of human jogging and walking patterns using statistical tabular, scatter distribution and artificial classifier. Advanced Materials Research 646: 126-133.

Yong, C.Y., Sudirman, R., Mahmood, N.H. & Chew, K.M. 2013b. Human body and body part movement analysis using gyroscope, accelerometer and compass. Applied Mechanics and Materials 284: 3120-3125.

 

*Pengarang untuk surat-menyurat; email: chiyong@fkegraduate.utm.my

 

 

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