A low cost depth sensor-based computer control system for the disabled people

• Autorzy: Połok B. , Bilski P.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the system for support interaction of disabled people using a low-cost computer module. The system is based on the Microsoft Kinect device. Its usability strongly depends on the designed software. The architecture of both software and hardware part of the system is discussed. The tests performed on human volunteers are presented as well. The conducted research confirms the usability of the system, showing its disadvantages and limitations.

Słowa kluczowe

EN

disabled people; human-computer interaction; Kinect; infrared sensors

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2016
• Tom: Vol. 62, No. 9
• Strony: 292--296
• Opis fizyczny: Bibliogr. 13 poz., fot., rys., schem., tab.

Twórcy

autor

Połok B.

• Warsaw University of Technology, Faculty of Electronics and Information Technology, 15/19 Nowowiejska St., 00-665 Warsaw, Poland

autor

Bilski P.

• Warsaw University of Technology, Faculty of Electronics and Information Technology, 15/19 Nowowiejska St., 00-665 Warsaw, Poland

Bibliografia

• [1] Betke M., Gips J., Fleming P.: The Camera Mouse: visual tracking of body features to provide computer access for people with severe disabilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 10, Issue: 1, pp. 001-010, 2002.
• [2] Song Y., Luo Y., Lin J.: Detection of Movements of Head and Mouth to Provide Computer Access for Disabled. Int. Conf. on Technologies and Applications of Artificial Intelligence, Chung-Li, pp. 223-226, 2011.
• [3] MacKenzie I. S., Ashtiani B.: BlinkWrite: Efficient text entry using eye blinks. Universal Access in the Information Society, Vol. 10, Issue 1, pp. 069–080, 2011.
• [4] Grauman K., Betke M., Lombardi J., Gips J., Bradski G. R.: Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. Universal Access in the Information Society, Vol. 2, Issue 4, pp. 359-373, 2003.
• [5] Krolak A., Strumillo P.: Vision-based eye blink monitoring system for human-computer interfacing. Conference on Human System Interactions, Krakow, pp. 994-998, 2008.
• [6] Hennessey C. A., Lawrence P. D.: Improving the Accuracy and Reliability of Remote System Calibration-Free Eye-Gaze Tracking. IEEE Transactions on Biomedical Engineering, vol. 56, no. 7, pp. 1891-1900, 2009.
• [7] Kocejko T., Bujnowski A., Wtorek J.: Eye mouse for disabled. Conf. on Human System Interactions, Cracov, pp. 199-202, 2008.
• [8] Raudonis V., Simutis R., Narvydas G.: Discrete eye tracking for medical applications. 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, Bratislava, pp. 001-006, 2009
• [9] Arai K., Mardiyanto R.: Eye-based HCI with Full Specification of Mouse and Keyboard Using Pupil Knowledge in the Gaze Estimation. Information Technology: New Generations (ITNG), 2011 Eighth International Conference on, Las Vegas, NV, pp. 423-428, 2011.
• [10] Oyabu Y., Takano H., Nakamura K.: Development of the eye input device using eye movement obtained by measuring the center position of the pupil. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Seoul, pp. 2948-2952, 2012.
• [11] Harrison R. R.: The Design of Integrated Circuits to Observe Brain Activity. Proc. of the IEEE, vol. 96, no. 7, pp. 1203-1216, 2008.
• [12] Bin G., Gao X., Wang Y., Hong B., Gao S.: VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]. IEEE Computational Intelligence Magazine, vol. 4, no. 4, pp. 022-026, 2009.
• [13] Muller K. R., Blankertz B.: Toward noninvasive brain-computer interfaces. IEEE Signal Processing Magazine, vol. 23, no. 5, pp. 128-126, 2006.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).