Abstract
This paper discusses gesture design for man–machine interfaces. Traditionally, gesture-interface studies have focused on improving performance, in terms of increasing speed and accuracy, in particular reducing false positives. Many studies neglect to consider the gestures’ intrinsic machine friendliness, which can improve recognition accuracy, and user friendliness, which makes a gesture easier to use and to remember. In this paper, we investigate machine- and user-friendly gestures and analyze the results of an Internet-based questionnaire in which 351 individuals were asked to assign gestures to eight operations.
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References
Ashbrook, D., Starner, T.: MAGIC: a motion gesture design tool. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2159–2168. ACM (2010)
Chen, M.Y., Mummert, L., Pillai, P., Hauptmann, A., Sukthankar, R.: Controlling your TV with gestures. In: Proceedings of the International Conference on Multimedia Information Retrieval, MIR 2010, pp. 405–408. ACM, New York (2010). http://doi.acm.org/10.1145/1743384.1743453
Chen, Q., Georganas, N.D., Petriu, E.M.: Real-time vision-based hand gesture recognition using haar-like features. In: IEEE Instrumentation and Measurement Technology Conference Proceedings, IMTC 2007, pp. 1–6. IEEE (2007)
Kawahata, R., Shimada, A., Yamashita, T., Uchiyama, H., Taniguchi, R.: Design of a low-false-positive gesture for a wearable device. In: 5th International Conference on Pattern Recognition Applications and Methods, pp. 581–588 (2016)
Liu, J., Zhong, L., Wickramasuriya, J., Vasudevan, V.: uWave: accelerometer-based personalized gesture recognition and its applications. Pervasive Mob. Comput. 5(6), 657–675 (2009)
Park, T., Lee, J., Hwang, I., Yoo, C., Nachman, L., Song, J.: E-gesture: a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices. In: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, pp. 260–273. ACM (2011)
Ruiz, J., Li, Y.: DoubleFlip: a motion gesture delimiter for mobile interaction. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2717–2720. ACM (2011)
Ruiz, J., Li, Y., Lank, E.: User-defined motion gestures for mobile interaction. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 197–206. ACM (2011)
Shan, C.: Multimedia interaction and intelligent user interfaces. Consum. Electron. 107–128 (2010). http://www.springerlink.com/index/10.1007/978-1-84996-507-1
Shimada, A., Yamashita, T., Taniguchi, R.: Hand gesture based TV control system–towards both user- & machine-friendly gesture applications. In: Workshop on Frontiers of Computer Vision the 19th Japan-Korea Joint, pp. 121–126 (2013)
Wachs, J.P., Kölsch, M., Stern, H., Edan, Y.: Vision-based hand-gesture applications. Commun. ACM 54, 60–71 (2011). http://doi.acm.org/10.1145/1897816.1897838
Zabulis, X., Baltzakis, H., Argyros, A.: Vision-Based Hand Gesture Recognition for Human-computer Interaction. Lawrence Erlbaum Associates, Inc. (LEA), Mahwah (2009). http://www.ics.forth.gr/~xmpalt/publications/papers/zabulis09_book.pdf
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Kawahata, R., Shimada, A., Taniguchi, Ri. (2017). What are Good Design Gestures?. In: Amsaleg, L., GuĂ°mundsson, G., Gurrin, C., JĂłnsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10132. Springer, Cham. https://doi.org/10.1007/978-3-319-51811-4_35
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DOI: https://doi.org/10.1007/978-3-319-51811-4_35
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