Abstract
A method is presented for identifying the digits, i.e., the thumb and/or finger(s), that touch a touchpad as a means to expand the input vocabulary available on a touchpad. It will enable application designers to assign different commands to touch gestures performed with the same number of digits and the same movement but with different digits. No additional sensors are required for identification; instead the digits are identified on the basis of machine learning using only data acquired from a mutual-capacitance touchpad as learning data. Experimental results revealed an average identification accuracy of 86.3%.
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References
Benko, H., Saponas, T.S., Morris, D., Tan, D.: Enhancing input on and above the Interactive Surface with Muscle Sensing. In: Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces, ITS 2009, pp. 93–100. ACM, New York (2009). https://doi.org/10.1145/1731903.1731924
Berthellemy, M., Cayez, E., Ajem, M., Bailly, G., Malacria, S., Lecolinet, E.: SpotPad, LociPad, ChordPad and InOutPad: investigating gesture-based input on touchpad. In: Proceedings of the 27th Conference on L’Interaction Homme-Machine, IHM 2015, pp. 4:1–4:8. ACM, New York (2015). https://doi.org/10.1145/2820619.2820623
Choi, S., Han, J., Kim, S., Heo, S., Lee, G.: ThickPad: a hover-tracking touchpad for a laptop. In: Proceedings of the 24th Annual ACM Symposium Adjunct on User Interface Software and Technology, UIST 2011, Adjunct, pp. 15–16. ACM, New York (2011). https://doi.org/10.1145/2046396.2046405
Cui, W., Zheng, J., Lewis, B., Vogel, D., Bi, X.: HotStrokes: word-gesture shortcuts on a trackpad. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, pp. 165:1–165:13. ACM, New York (2019). https://doi.org/10.1145/3290605.3300395
Fruchard, B., Lecolinet, E., Chapuis, O.: MarkPad: augmenting touchpads for command selection. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, CHI 2017, pp. 5630–5642. ACM, New York (2017). https://doi.org/10.1145/3025453.3025486
Gil, H., Lee, D., Im, S., Oakley, I.: TriTap: identifying finger touches on smartwatches. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, CHI 2017, pp. 3879–3890. ACM, New York (2017). https://doi.org/10.1145/3025453.3025561
Gu, J., Heo, S., Han, J., Kim, S., Lee, G.: LongPad: a touchpad using the entire area below the keyboard of a laptop computer. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, pp. 1421–1430. ACM, New York (2013). https://doi.org/10.1145/2470654.2466188
Gupta, A., Balakrishnan, R.: DualKey: miniature screen text entry via finger identification. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI 2016, pp. 59–70. ACM, New York (2016). https://doi.org/10.1145/2858036.2858052
Heo, S., Han, J., Lee, G.: Designing rich touch interaction through proximity and 2.5D force sensing touchpad. In: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration, OzCHI 2013, pp. 401–404. ACM, New York (2013). https://doi.org/10.1145/2541016.2541057
Ikematsu, K., Fukumoto, M., Siio, I.: Ohmic-Sticker: force-to-motion type input device for capacitive touch surface. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, pp. LBW0223:1-LBW0223:6. ACM, New York (2019). https://doi.org/10.1145/3290607.3312936
Jung, J., Youn, E., Lee, G.: PinPad: touchpad interaction with fast and high-resolution tactile output. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, CHI 2017, pp. 2416–2425. ACM, New York (2017). https://doi.org/10.1145/3025453.3025971
Le, H.V., Mayer, S., Henze, N.: Investigating the feasibility of finger identification on capacitive touchscreens using deep learning. In: Proceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019, pp. 637–649. ACM, New York (2019). https://doi.org/10.1145/3301275.3302295
Malik, S., Laszlo, J.: Visual touchpad: a two-handed gestural input device. In: Proceedings of the 6th International Conference on Multimodal Interfaces, ICMI 2004, pp. 289–296. ACM, New York (2004). https://doi.org/10.1145/1027933.1027980
Masson, D., Goguey, A., Malacria, S., Casiez, G.: WhichFingers: identifying fingers on touch surfaces and keyboards using vibration sensors. In: Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017, pp. 41–48. ACM, New York (2017). https://doi.org/10.1145/3126594.3126619
Nakamura, T., Shizuki, B.: Distinction system of left and right hands placed on a keyboard of laptop computers. In: Proceedings of the 30th Australian Conference on Computer-Human Interaction, OzCHI 2018, pp. 587–589. Association for Computing Machinery, New York (2018). https://doi.org/10.1145/3292147.3292228
Park, K., Lee, G.: FingMag: finger identification method for smartwatch. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, pp. LBW2216:1–LBW2216:6. ACM, New York (2019). https://doi.org/10.1145/3290607.3312982
Suzuki, Y., Misue, K., Tanaka, J.: A potential exploration of finger-specific interaction. ICIC Express Lett. 6, 3061–3067 (2012)
Taylor, S., Keskin, C., Hilliges, O., Izadi, S., Helmes, J.: Type-hover-swipe in 96 bytes: a motion sensing mechanical keyboard. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014, pp. 1695–1704. ACM, New York (2014). https://doi.org/10.1145/2556288.2557030
Tung, Y.C., Cheng, T.Y., Yu, N.H., Wang, C., Chen, M.Y.: FlickBoard: enabling trackpad interaction with automatic mode switching on a capacitive-sensing keyboard. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, pp. 1847–1850. ACM, New York (2015). https://doi.org/10.1145/2702123.2702582
Vega, K., Fuks, H.: Beauty tech nails: interactive technology at your fingertips. In: Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction, TEI 2014, pp. 61–64. ACM, New York (2014). https://doi.org/10.1145/2540930.2540961
Zheng, J., Vogel, D.: Finger-aware shortcuts. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI 2016, pp. 4274–4285. ACM, New York (2016). https://doi.org/10.1145/2858036.2858355
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Nakamura, T., Shizuki, B. (2020). Identification Method of Digits for Expanding Touchpad Input. In: Kurosu, M. (eds) Human-Computer Interaction. Multimodal and Natural Interaction. HCII 2020. Lecture Notes in Computer Science(), vol 12182. Springer, Cham. https://doi.org/10.1007/978-3-030-49062-1_31
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DOI: https://doi.org/10.1007/978-3-030-49062-1_31
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