Analysis of Properties of an Active Linear Gesture Sensor

Open access

Abstract

Basic gesture sensors can play a significant role as input units in mobile smart devices. However, they have to handle a wide variety of gestures while preserving the advantages of basic sensors. In this paper a user-determined approach to the design of a sparse optical gesture sensor is proposed. The statistical research on a study group of individuals includes the measurement of user-related parameters like the speed of a performed swipe (dynamic gesture) and the morphology of fingers. The obtained results, as well as other a priori requirements for an optical gesture sensor were further used in the design process. Several properties were examined using simulations or experimental verification. It was shown that the designed optical gesture sensor provides accurate localization of fingers, and recognizes a set of static and dynamic hand gestures using a relatively low level of power consumption.

[1] Czuszyński, K., Rumiński, J., Kocejko, T., Wtorek, J. (2015). Septic safe interactions with smart glasses in health care. Proc. of EMBC 2015 Conference, IEEE Xplore, 1604-1607.

[2] Mentis, H.M. (2015). Voice or Gesture in the Operating Room. Proc. of CHI EA ’15 Conference, ACM, 773-780.

[3] Hinckley, K., Pierce, J., Sinclair, M., Horvitz, E. (2000). Sensing Techniques for Mobile Interaction. Proc. of UIST ’00 Symposium ACM, 91-100.

[4] Metzger, C., Anderson, M., Starner, T. (2004). FreeDigiter : A Contact - free Device for Gesture Control. Proc. of ISWC ’04 Symposium, ACM, 18-21.

[5] Manabe, H. (2013). Multi-touch gesture recognition by single photoreflector. Proc. of UIST ’13 Symposium, ACM, 15-16.

[6] Gao, Y., Broga, A.M., Krishnaswamy, P. (2015). Contactless gesture recognition with sensor having asymmetric field of view. Patent no. EP 2866124 A1.

[7] Czuszynski, K., Ruminski, J., Wtorek, J., Vogl, A., Haller, M. (2015). Interactions using passive optical proximity detector. Proc. of HSI 2015 Conference, IEEE Xplore, 180-186.

[8] Cheng, H., Chen, A.M., Razdan, A., Buller, E. (2011). Contactless Gesture Recognition for Mobile Devices. MIAA.

[9] Kim, Y.S., Baek, K. (2013). A motion gesture sensor using photodiodes with limited field-of-view. Optics Express, 21(8), 555-560.

[10] Kong, K., Kim, Y.S., Kim, J.E., Kim, S., Baek, K. (2013). Single-Package Motion Gesture Sensor for Portable Applications. IEEE Transactions on Consumer Electronics, 59(4), 848-853.

[11] Kim, J.S., Yun, S.J., Seol, D.J., Park, H.J., Kim, Y.S. (2015). An IR Proximity-Based 3D Motion Gesture Sensor for Low-Power Portable Applications. IEEE Sensors Journal, 15(12), 7009-7016.

[12] Kim, J.S., Yun, S.J., Kim, Y.S. (2016). Low-power motion gesture sensor with a partially open cavity package. Optics Express, 24(10), 10537-10546.

[13] Withana, A., Peiris, R., Samarasekara, N., Nanayakkara, S. (2015). zSense : Enabling Shallow Depth Gesture Recognition for Greater Input Expressivity on Smart Wearables. Proc. of CHI ’15 Conference, ACM, 3661-3670.

[14] Withana, A., Ransiri, S., Kaluarachchi, T., Singhabahu, C., Shi, Y., Elvitigala, S., Nanayakkara, S. (2016). waveSense : Ultra Low Power Gesture Sensing Based on Selective Volumetric Illumination. Proc. of UIST ’16 Symposium, ACM, 139-140.

[15] Chuang, C., Chang, T., Jau, P., Chang, F. (2014). Applying the Kalman Filter to the Infrared-Based Touchless Positioning System with Dynamic Adjustment of Measurement Noise Features. Proc. of IMPACT 2014 Conference, IEEE Xplore, 84-87.

[16] Tang, S.K., Tseng, W.C., Luo, W.W., Chiu, K.C., Lin, S.T., Liu, Y.P. (2011). Virtual Mouse: A Low CostProximity-Based Gestural Pointing Device. Proc. of HCI 2011Conference, Springer, 491-499.

[17] Butler, A., Izadi, S. Hodges, S. (2008). SideSight: multi-‘touch’ interaction around small devices. (2008). Proc. of UIST ’08 Symposium, ACM, 201-204.

[18] Lewandowski, T., Augustyniak, P. (2010). The System of a Touchfree Personal Computer Navigation by Using the Information on the Human Eye Movements. Proc. of HSI 2010 Conf., IEEE Xplore, 674-677.

[19] Zhu, C., Liu, Q. (2013). Review of Monte Carlo modeling of light transport in tissues Review of Monte Carlo modeling of light transport. Journal of Biomedical Optics, 18(5), 1-12.

[20] Czuszynski, K., Ruminski, J., Polinski, A. Bujnowski, A. (2016). Estimation of the amplitude of the signal for the active optical gesture sensor with sparse detectors. Proc. of HSI 2016 Conference, IEEE Xplore, 483-489.

[21] Bujnowski, A., Czuszynski, K., Ruminski, J., Wtorek, J., McCall, R., Popleteev, A., Louveton, N., Engel, T. (2015). Comparison of active proximity radars for the wearable devices. Proc. of HSI 2015 Conference, IEEE Xplore, 158-165.

[22] Czuszynski, K., Ruminski, J., Bujnowski, A., Wtorek, J. (2016). Semi complex navigation with an active optical gesture sensor. Proc. of UbiComp ’16 Conference, ACM, 269-272.

[23] Amft, O., Wahl, F., Ishimaru, S., Kunze, K. (2015). Making Regular Eyeglasses Smart. IEEE Pervasive Computing, 14(3), 32-43.

[24] Serrano, M., Ens, B., Irani, P. (2014). Exploring the Use of Hand-To-Face Input for Interacting with Head- Worn Displays. Proc. of CHI ’14 Conference, ACM, 3181-3190.

Metrology and Measurement Systems

The Journal of Committee on Metrology and Scientific Instrumentation of Polish Academy of Sciences

Journal Information


IMPACT FACTOR 2016: 1.598

CiteScore 2016: 1.58

SCImago Journal Rank (SJR) 2016: 0.460
Source Normalized Impact per Paper (SNIP) 2016: 1.228

Cited By

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 100 100 18
PDF Downloads 57 57 8