International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

An Analytical Study of Human Body as an Input Surface by Skinput Technology

Mr. Parimal V. AdhauMCA -III, Department of Research and PG Studies & Management, Vidyabharti Mahavidyalay, Amravati, IndiaMr. Abhishek P. BalapureMCA -III, Department of Research and PG Studies & Management, Vidyabharti Mahavidyalay, Amravati, India

Vol 4 No 1 (2020): Volume 4, Issue 1, January 2020 | Pages: 9-12

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-01-2020

doi Logo

pdf iconFull Text PDF
Abstract

We present Skinput, a technology that adapts the human body to acoustic transmission and allows the skin to be used as an entry surface. In particular, we determine the position of the finger strokes on the arm and the hand by analyzing the mechanical vibrations which propagate through the body. We are recording these signals using a new range of sensors that are worn like an armband. This approach offers an always available, naturally portable and body-mounted finger entry system.

Keywords

Bio-acoustics, finger input, buttons, gestures, on-body interaction, projected displays, audio interfaces


Citation of this Article

Mr. Parimal V. Adhau, Mr. Abhishek P. Balapure, “An Analytical Study of Human Body as an Input Surface by Skinput Technology” Published in International Research Journal of Innovations in Engineering and Technology (IRJIET), Volume 4, Issue 1, pp 9-12, January 2020.

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. Ahmad, F., and Musilek, P. A Keystroke and Pointer Control Input Interface for Wearable Computers. In Proc. IEEE PERCOM ’06, 2-11.
  2. Amento, B., Hill, W., and Terveen, L. The Sound of One Hand: A Wrist-mounted Bio-acoustic Fingertip Gesture Interface. In CHI ‘02 Ext. Abstracts, 724-725.
  3. Argyros, A.A., and Lourakis, M.I.A. Vision-based Interpretation of Hand Gestures for Remote Control of a Computer Mouse. In Proc. ECCV 2006 Workshop on Computer Vision in HCI, LNCS 3979, 40-51.
  4. Burges, C.J. A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2.2, June 1998, 121-167.
  5. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults. National Heart, Lung and Blood Institute. Jun. 17, 1998.
  6. Deyle, T., Palinko, S., Poole, E.S., and Starner, T. Hambone: A Bio-Acoustic Gesture Interface. In Proc. ISWC '07. 1-8.
  7. Erol, A., Bebis, G., Nicolescu, M., Boyle, R.D., and Twombly, X. Vision-based hand pose estimation: A review. Computer Vision and Image Understanding. 108, Oct., 2007.
  8. Fabiani, G.E. McFarland, D.J. Wolpaw, J.R. and Pfurtscheller, G. Conversion of EEG activity into cursor movement by a brain-computer interface (BCI). IEEE Trans. on Neural Systems and Rehabilitation Engineering, 12.3, 331-8. Sept. 2004.
  9. Grimes, D., Tan, D., Hudson, S.E., Shenoy, P., and Rao, R. Feasibility and pragmatics of classifying working memory load with an electroencephalograph. Proc. CHI ’08, 835-844.
  10. Harrison, C., and Hudson, S.E. Scratch Input: Creating Large, Inexpensive, Unpowered and Mobile finger Input Surfaces. In Proc. UIST ’08, 205-208.

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.