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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 7 , ISSUE 4 (December 2014) > List of articles


Malek Njah * / Mohamed Jallouli *

Keywords : electric wheelchair, encoder, ultrasonic sensors, particle filter, power module, microcontroller, CB405, PIC16F877.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 1,922-1,942, DOI:

License : (CC BY-NC-ND 4.0)

Received Date : 15-June-2014 / Accepted: 06-October-2014 / Published Online: 01-December-2014



The electric wheelchair for handicapped is used to improve the displacement of disabled persons. An automatic navigation system is needed to ensure greater autonomy and security for the disabled person. Automatic control system is added to a manual control for autonomous displacement. Initial system composed of two DC motors installed at the rear of used electric wheelchair, power module for the motors control and joystick to select speed and moving direction. We include an automatic control system composed by two electronic cards, based on microcontrollers CB405 and PIC16F877 for the signal acquisition from the encoders and distance measurements from ultrasonic sensors (SRF08 and SRF04). The ultrasonic sensors used to improve the localization when we use an automatic control system. Several techniques exist for sensors fusion solves the problems of mobile robots localization. Among these methods, we can quote the particle filter that use data from the encoders and measures from the ultrasonic sensors.

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[1] R. Tomari, Y. Kobayashi and Y. Kuno, “Socially Acceptable Smart Wheelchair Navigation From Head Orientation Observation”, International journal on smart sensing and intelligent systems, vol 7, No. 2, June 2014, pp. 630-643.
[2] Y. Bingbing, R. Wenbo, Y. Bolin and L. Yang, “An Indoor Positioning Algorithm and its Experiment Research Based on RFID”, International journal on smart sensing and intelligent systems, vol 7, No. 2, June 2014, pp. 879-897.
[3] M. Njah, M. Jallouli, “Wheelchair Obstacle Avoidance Based on Fuzzy Controller and Ultrasonic Sensors”, IEEE International Conference on Computer Applications Technology „ICCAT‟2013‟, 20-22 January, 2013, Sousse, Tunisia, S/N 106.
[4] Y. Qingwei, Y. Debin, Z. Yu and W. Xiaodong, “Particle Filter on Nonlinear Vibration Signal of Bridge Stayed Cable”, International journal on smart sensing and intelligent systems, vol 5, No. 4, December 2012, pp. 940-956.
[5] D. Dias, R. Ventura, “Absolute Localization for Low Capability Robots in Structured Environments Using Barcode Landmarks”, Journal of Automation, Mobile Robotics & Intelligent Systems, vol 7, No. 1, 2013, pp. 28-34.
[6] K. Qian, X. Ma, X. Dai, F. Fang and B. Zhou, “Probabilistic Joint State Estimation of Robot and Non-static Objects for Mobile Manipulation”, International journal on smart sensing and intelligent systems, vol 5, No. 4, December 2012, pp. 1081-1096.
[7] M. Njah, M. Jallouli and N. Derbel, “Optimal Fuzzy Controller for the Navigation of an Electric Wheelchair”, Transactions on Systems, Signals and Devices TSSD, Vol. 6, No.1, 2011, pp. 93-109.
[8] T. K. Dakhlallah, M. A. Zohdy, “Type-2 Fuzzy Kalman Hybrid Application for Dynamic Security Monitoring Systems based on Multiple Sensor Fusion”, International journal on smart sensing and intelligent systems, vol 4, No. 4, December 2011, pp. 607-629.
[9] L. Brethes, F. Lerasle, P. Danes and M. Fontmarty, “Particle Filtering Strategies for Data Fusion Dedicated to Visual Tracking From a Mobile Robot”, Springer, Machine Vision and Applications, vol 21, No. 4, October 2010, pp. 427-448.
[10] M. Njah, M. Jallouli, “Synthesis of a Fuzzy Controller for the Navigation of an Electric Wheelchair for Handicapped”, IEEE 6th International Multi-Conference on Systems, Signals and Devices, „SSD'09‟, 23-26 March, 2009, Djerba, pp. 222-226.
[11] J. Pugh and A. Martinoli,” Relative Localization and Communication Module for Small-Scale Multi-Robot Systems”, International Conference on Robotics and Automation „ICRA‟, 15-19 May, 2006, Orlando, Florida, USA, pp. 188-193.
[12] S. Sarrka, A. Vehtari, J. Lampinen, “Rao-Blackwellized Particle Filter for Multiple Target Tracking ”, Elsevier, Journal Information Fusion, Vol. 8, No. 1, January 2007, pp. 2-15.
[13] K. C. Hsien, H. H. Lung and L. M. Yih, “Development of Agent Based Autonomous Robotic Wheelchair Control Systems”, Biomedical Engineering Applications, vol. 15, No.6, 2003, pp. 223-234.
[14] S. Bhardwaj, D. S. Lee, S.C. Mukhopadhyay, and W. Y. Chung, “A Fusion Data Monitoring of Multiple Wireless Sensors for Ubiquitous Healthcare System”, Proceedings of the 2nd International Conference on Sensing Technology November 26-28, 2007 Palmerston North, New Zealand, pp. 217-222.
[15] R. C. Simpson, D. Poirot and F. Baxter, ”The Hephaestus Smart Wheelchair System”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 10, No. 2, June 2002, pp.118-122.
[16] Wei Liang, S.C. Mukhopadhyay, Rajali Jidin and Chia-Pang Chen, Multi-Source Information Fusion for Drowsy Driving Detection Based on Wireless Sensor Networks, Proceedings of the 2013 Seventh International Conference on Sensing Technology, ICST 2013, December 3 – 5, 2013, Wellington, New Zealand, pp. 861-868, ISBN 978-1-4673-5221-5.
[17] J. Z. Sasiadek and P. Hartana, “Sensor Data Fusion Using Kalman filter”, third International Conference on Information Fusion, vol 2, 10-13 July, 2000, Paris, France, pp. 19-25.
[18] A. Doucet, S. J. Godsill and C. Andriu, “On Sequential Monte Carlo sampling Methods for Bayesian Filtering”, journal on Statistics and computing, vol 10, No.3, July 2000, pp. 197–208.
[19] S. Thrun, D. Fox, W. Burgard and F. Dellaert, “Robust Monte Carlo localization for mobile robots”, Elsevier, Artificial Intelligence, vol 128, No. 1, 2001, pp. 99-141.
[20] N. K. Suryadevara, S. C. Mukhopadhyay. R.K. Rayudu and Y. M. Huang, Sensor Data Fusion to determine Wellness of an Elderly in Intelligent Home Monitoring Environment, Proceedings of IEEE I2MTC 2012 conference, IEEE Catalog number CFP12MT-CDR, ISBN 978-1-4577-1771-0, May 13-16, 2012, Graz, Austria, pp. 947-952.
[21] J. Liu and R. Chen, “Sequential Monte Carlo Methods for Dynamic Systems”, Journal of the American Statistical association, vol. 93, No.443, 1998, pp. 1032-1044.
[22] Manual of using power module type dynamic control, shark DK-PMB.
Download from:
[23] Manual of using the joystick of type shark DK – REMB.
Download from:
[24] Manual of using the ultrasonic sensors SRF04.
Download from: Devantech_SRF04.pdf
[25] Manual of using the ultrasonic sensors SRF08.
Download from: