Control of speed and direction of electric wheelchair using seat pressure mapping

• Autorzy: Hori J. , Ohara H. , Inayoshi S.

Identyfikatory

DOI

10.1016/j.bbe.2018.04.007

• Języki publikacji: EN

Abstrakty

EN

An electric wheelchair controlled through seat pressure mapping was developed to accomplish hands-free operation. The seat pressure mapping resulting from a change in posture was measured using a pressure sensor array seated on the wheelchair in real time. The movements of the upper body were discriminated using template matching. The speed and direction can be controlled based on the similarities between the measured pressure distribution and five templates of neutral, forward, backward, left, and right movements. The developed interface was built into a commercial electric wheelchair. As the results of an experiment show, the proposed wheelchair can be controlled in any direction and velocity.

Słowa kluczowe

EN

electric wheelchair; hands-free operation; seat pressure mapping; interface; template matching

PL

wózek inwalidzki; obsługa bez użycia rąk; dopasowywanie wzorca

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2018
• Tom: Vol. 38, no. 3
• Strony: 624--633
• Opis fizyczny: Bibliogr. 25 poz., rys., wykr.

Twórcy

autor

Hori J.

• Graduate School of Science and Technology, Niigata University, Niigata, Japan; 8050 Ikarashi-2, Nishi-Ku, Niigata 950-2181, Japan

autor

Ohara H.

• Graduate School of Science and Technology, Niigata University, Niigata, Japan

autor

Inayoshi S.

• Graduate School of Science and Technology, Niigata University, Niigata, Japan

Bibliografia

• [1] Huo X, Ghovanloo M. Using unconstrained tongue motion as an alternative control mechanism for wheeled mobility. IEEE Trans Biomed Eng 2009;56(6):1719–26.
• [2] Pande VV, Ubale NS, Masurkar DP, Ingole NR, Mane PP. Hand gesture based wheelchair movement control for disabled person using MEMS. Int J Eng Res Appl 2014;4(4): 152–8.
• [3] Gupta A, Joshi N, Chaturvedi N, Sharma S, Pandar V. Wheelchair control by head motion using accelerometer. Int J Elect Electron Res 2016;4(1):158–61.
• [4] Thorp EB, Abdollahi F, Chen D, Farshchiansadegh A, Lee MH, Pedersen JP, et al. Upper body-based power wheelchair control interface for individuals with Tetraplegia. IEEE Trans Neural Syst Rehabil Eng 2016;24(2):249–60.
• [5] Han JS, Bien ZZ, Kim DJ, Lee HE, Kim JS. Human-machine interface for wheelchair control with EMG and its evaluation. Conf Proc IEEE Eng Med Biol Soc 2013.
• [6] Iturrate I, Antelis JM, Kubler A, Minguez J. Noninvasive brain-actuated wheelchair based on a P300 neurophysilogical protocol and automated navigation. IEEE Trans Robot 2009;25(3):614–27.
• [7] Rechy-Ramirez EJ, Hu H. A flexible bio-signal based HMI for hands-free control of an electric powered wheelchair. Int J Artif Life Res 2014;4(1):59–76.
• [8] Purwanto D, Mardiyanto R, Arai K. Electric wheelchair control with gaze direction and eye blinking. Artif Life Robot 2009;14:436–9.
• [9] Mani N, Sebastian A, Paul AM, Chacko A, Raghunath A. Eye controlled electric wheel chair. Int J Adv Res Elect Electron Instrum Eng 2015;4(4):2494–7.
• [10] Li H, Kutbi M, Li X, Cai C, Mordohai P, Hua G. An egocentric computer vision based co-robot wheelchair. Int Conf Intell Robot Syst 2016.
• [11] Boucher P, Atrash A, Kelouwani S, Honoré W, Nguyen H, Villemure J, et al. Design and validation of an intelligent wheelchair towards a clinically-functional outcome. J NeuroEng Rehabil 2013;10(58).
• [12] Leaman J, La HM. A comprehensive review of smart wheelchairs: past, present and future. IEEE Trans Hum Mach Syst 2017;47(4):486–99.
• [13] Apatsidis DP, Solomonidis SE, Michael SM. Pressure distribution at the seating interface of custom-molded wheelchair seats: effect of various materials. Arch Phys Med Rehabil 2002;83:1151–6.
• [14] Gil-Agudo A, De la Peña-González A, Del Ama-Espinosa A, Pérez-Rizo W, Díaz-Domínguez E, Sánchez-Ramos A. Comparative study of pressure distribution at the usercushion interface with different cushions in a population with spinal cord injury. Clin Biomech 2009;24:558–63.
• [15] Li C, Huang K, Kung C, Chen Y, Tseng Y, Tsai K. Evaluation of the effect of different sitting assistive devices in reclining wheelchair on interface pressure. BioMed Eng OnLine 2017;16(108).
• [16] Tederko P, Besowski T, Jakubiak K, Łyp M, Bobecka-Wesołowska K, Kiwerski J. Effect of seat inclination on seated pressures of individuals with spinal cord injury. Spinal Cord 2015;53:471–5.
• [17] Bogie K, Wang X, Fei B, Sun J. New technique for real-time interface pressure analysis: getting more out of large image data sets. J Rehabil Res Dev 2008 2008;45(4):523–36.
• [18] Jun Y, Cho S, Park S. Body pressure distribution measurement for comfort evaluation of a coccyx seating Mat. Adv Sci Technol Lett 2016;140:173–8.
• [19] Schofield R, Porter-Armstrong A, Stinson M. Reviewing the literature on the effectiveness of pressure relieving movements. Nurs Res Pract 2013 2013. Article ID 124095.
• [20] Mastrigt SH, Groenesteijn L, Vink P, Kuijt-Evers LFM. Predicting passenger seat comfort and discomfort on the basis of human, context and seat characteristics: a literature review. Ergon 2017;60(7):889–911.
• [21] Yokota S, Hashimoto H, Ohyama Y, She J. Electric wheelchair controlled by human body motion – classification of body motion and improvement of control method. J Robot Mechatron 2010;22(4):439–46.
• [22] Yokota S, Hashimoto H, Ohyama Y, Jin-Hua S, Kobayashi H, Blazevic P. The electric wheelchair controlled by human body motion. Conf Hum Syst Interact 2009;247–50.
• [23] Heitmann J, Köhn C, Stefanov D. Robotic wheelchair control interface based on headrest pressure measurement. IEEE Int Conf Rehab Robot 2011;959–64.
• [24] Hori J. Development of electric wheelchair controlled by body motions estimated from seat pressure distribution. Conf Proc IEEE Eng Med Biol Soc 2015.
• [25] Shiraishi R, Sankai Y. Balance control learning method for improving pulling chair movement: a case study of a quadriplegic wheelchair user. Adv Biomed Eng 2017;6:95–101.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).