Multi-Module Intelligent Wheelchair
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Government of India, Ministry of Home Affairs. Our Census, Our Future. Available Online at; punjabcensus.gov.in/pdf/circulars/dco18.pdf.
Julianna Arva et al. Mechanical Efficiency and user power requirement with a push rim activated power assisted wheelchair. Medical Engineering & Physics. Dec 2001; 23(10): 699–705p
Howarth SJ et al. Use of a geared wheelchair wheel to reduce propulsive muscular demand during ramp ascent: Analysis of muscle activation and kinematics. Clinical Biomechanics. Jan 2010; 25(1): 21–28p.
Bruno Flament, Yanis Caritu, Movea. Use of MEMS Motion Sensors for Embedded Mobile Applications. (ebook).
Büsching F et al. Computer Methods and Programs in Biomedicine. Science Direct. May 2012; 106(2): 79–88p
Media Anugerah Ayu et al. A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition. Procedia Engineering. 2012; 41(224-229): 4–6p.
Anusuya MA and Katti SK. Speech Recognition by Machine: A Review. IJCSIS International Journal of Computer Science and Information Security. 2009; 6(3): 1–25p.
Kim J et al. Effectiveness of a remote accessibility assessment system for wheelchair users using virtualized reality. Archives of Physical Medicine and Rehabilitation. Mar 2008; 89(3): 470–479p.
K-one Robotics, 2nd Edn, 2009; 1–6p. http://www.springer.com/us/book.
DOI: https://doi.org/10.37591/joma.v3i3.7248
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