Wheelchair Comfort Evaluation Method Based on Neural Network

Abstract:

Based on the subjective questionnaire data, anthropometric data, and the pressure distribution data, the relationship between pressure distribution and wheelchair static comfort is studied. Subjective evaluation of comfort is collected through subjective questionnaires; experimenter pressure distribution data is extracted through pressure distribution experiment. Using anthropometric data and pressure distribution data as input, and integrated comfort as output, wheelchair comfort network prediction model is established based on artificial neural network, wheelchair ride comfort can be predicted through pressure distribution. This method converts the subjective evaluation to objective measurement.

• Periodical: Applied Mechanics and Materials (Volumes 268-270)
• Pages: 1982-1985
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.268-270.1982
• Online since: December 2012
• Authors: Yan Li Yuan, Tian Min Guan, Mei Chao Qin
• Keywords: Model, Neural Network (NN), Pressure Distribution, Wheelchair Comfort

References

[1] Zhili Xia, Shuying Zhao．Analysis of China's aging population and Elderly human resources development and utilization[J]. Journal of Adult Education College of Hebei University, 2009(2):35-37(in chinese).

[2] Thakurta K, Koester D, Bush N, et al. Evaluating Short and Long Term Seating Comfort[J]. SAE Paper, 1995, 95-144.

DOI: 10.4271/950144

[3] Denis A. Coelho, Sven Dhalman. A Pilot evaluation of car seat side support: Leading to a redefinition of the Problem[J]. Intenrational Jounral of Industrial Ergonomies, 1999, 24:201-210.

DOI: 10.1016/s0169-8141(98)00029-8

[4] Lee J, Ferraiuolo P. Seat Comfort [J]. SAE Paper, 1993, 93-105.

[5] Levrat E , Voisin A , and Bombardier S. Subjective evaluation of car seat comfort with fuzzy set techniques[J]. Intelligent Systems, 1997 , 12 (12).

DOI: 10.1002/(sici)1098-111x(199711/12)12:11/12<891::aid-int7>3.3.co;2-l

[6] Inagaki H, Taguchi T, Yasuda E, et al. Evaluation of Riding Comfort - interaction of Human Body and Seat [J ]. SAE Paper, 2000, 01-0643.

DOI: 10.4271/2000-01-0643

[7] Demontis S , Giacoletto M. Prediction of Car Seat Comfort from Human - Seat Interface Pressure Distribution[J]. SAE Paper, 2002, 01-0781.

DOI: 10.4271/2002-01-0781

[8] Jia Ma, Zhisheng Fan, Feifei Li. Evaluation of Automobile Seat Comfort Based on Artificial Neural Networks[J]. Industrial Engineering Journal.2008，11(5)：106-109.

[9] Xiyu Zhang. Research of Wheelchair Comfortability and Design of Wheelchair Specially for Cerebral Palsy Patients[D].Dalian Jiaotong University. 2006(in chinese).

[10] Jun She. The Research of Wheelchair Comfort of the Aged and Lightening Based on Ergonomics [D]. Dalian Jiaotong University. 2006(in chinese).

[11] Yulan Ding．Ergonomics[M]．Beijing Institute of Technology Press，1999:11-15(in chinese).

[12] Yanzi Zhuang, Ping Cai, Zhifeng Zhou, Liangyong Yin. Pressure Mapping System and its Sensor Technology．Journal of Transcluction Technology[J]．2005,6(2):313-317(in chinese).

[13] Dongping Zhang．Study on Acid Gaseous Emission and Its Artificial Neural Networks Predication in an MSW-Fired Fluidized Bed．Zhejiang University, 2003(in chinese).