An IMU-Based Wearable System for Automatic Pointing During Presentations

• Autorzy: Sikeridis D. , Antonakopoulo T.

Identyfikatory

DOI

10.1515/ipc-2016-0007

• Języki publikacji: EN

Abstrakty

EN

Wearable motion capture systems using Micro-Electro-Mechanical-Systems (MEMS) based Inertial Measurement Units (IMUs) are considered a promising low-cost technology that evolves rapidly over the last few years. A wearable pointing system that consists of a pair of IMUs with acceleration and angular velocity sensors is presented in this work. Each IMU is equipped with Bluetooth connectivity and both are mounted on the user's arm. The system provides automatic pointing on the presentation screen by capturing the arm's rotational movement and by exploiting the speaker's relative to the screen position. In this paper, we present the system's design and its evaluation along with a training method for estimating the user-screen distance and relative position. Experimental results show promising pointing accuracy and precision in a variety of different display sizes and distances making the system an effective solution for automatic on-screen pointing.

Słowa kluczowe

EN

MEMS; testing inertial measurement units; Bluetooth

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2016
• Tom: Vol. 21, no. 2
• Strony: 7--18
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Sikeridis D.

autor

Antonakopoulo T.

Bibliografia

• [1] Brigante, C. M., Abbate, N., Basile, A., Faulisi, A. C., Sessa, S. (2011). Towards miniaturization of a MEMS-based wearable motion capture system. IEEE Transactions on Industrial Electronics, 58(8), 3234–3241
• [2] Cavallo, A., Cirillo, A., Cirillo, P., De Maria, G., Falco, P., Natale, C., Pirozzi, S. (2014). Experimental comparison of sensor fusion algorithms for attitude estimation. IFAC Proceedings Volumes, 47(3), 7585–7591
• [3] Debarba, H., Nedel, L., Maciel, A. (2012, March). Lop-cursor: Fast and precise interaction with tiled displays using one hand and levels of precision. In 3D User Interfaces (3DUI), 2012 IEEE Symposium on (pp. 125–132). IEEE
• [4] Diebel, J. (2006). Representing attitude: Euler angles, unit quaternions, and rotation vectors. Matrix, 58(15-16), 1–35
• [5] Directed Perception. (2006). Computer Controlled Pan-Tilt Unit Model PTU-D46
• [6] Han, H., won Yoon, S. (2015, November). Novel multiple-functional IMU-based wearable air mouse for the simultaneous operation with (Air) keyboards. In SENSORS, 2015 IEEE (pp. 1-4). IEEE
• [7] Hyyti, H., Visala, A. (2015). A DCM Based Attitude Estimation Algorithm for Low-Cost MEMS IMUs. International Journal of Navigation and Observation, 2015
• [8] Kuipers, J. B. (1999). Quaternions and rotation sequences (Vol. 66). Princeton: Princeton university press
• [9] Madgwick, S. (2010). An efficient orientation filter for inertial and inertial/magnetic sensor arrays. Report x-io and University of Bristol (UK)
• [10] Mahony, R., Hamel, T., Pflimlin, J. M. (2008). Nonlinear complementary filters on the special orthogonal group. IEEE Transactions on Automatic Control, 53(5), 1203–1218
• [11] Mann, K. A., Wernere, F. W., Palmer, A. K. (1989). Frequency spectrum analysis of wrist motion for activities of daily living. Journal of Orthopaedic research, 7(2), 304–306
• [12] Petropoulos, A., Antonakopoulos, T. (2016). Indoor location estimation using a pair of wearable devices, In IEICE Information and Communication Technology Forum (ICTF)
• [13] Raya, R., Roa, J. O., Rocon, E., Ceres, R., Pons, J. L. (2010). Wearable inertial mouse for children with physical and cognitive impairments. Sensors and Actuators A: Physical, 162(2), 248–259
• [14] Rohac, J., Sipos, M., Simanek, J. (2015). Calibration of low-cost triaxial inertial sensors. IEEE Instrumentation & Measurement Magazine, 18(6), 32–38
• [15] Sikeridis, D., Antonakopoulos, T. (2016). An IMUbased Wearable Presentation Pointing Device, In IEICE Information and Communication Technology Forum (ICTF)
• [16] Sim, N., Gavriel, C., Abbott, W. W., Faisal, A. A. (2013, November). The head mouseUHead gaze estimation" In-the-Wild" with low-cost inertial sensors for BMI use. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on (pp. 735–738). IEEE
• [17] Wang, W. Z., Guo, Y. W., Huang, B. Y., Zhao, G. R., Liu, B. Q., Wang, L. (2011, November). Analysis of filtering methods for 3D acceleration signals in body sensor network. In Bioelectronics and Bioinformatics (ISBB), 2011 International Symposium on (pp. 263–266). IEEE
• [18] Won, S. H. P., Golnaraghi, F. (2010). A triaxial accelerometer calibration method using a mathematical model. IEEE Transactions on Instrumentation and Measurement, 59(8), 2144–2153

Uwagi

PL

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