1. P.PRANNOY CHAKRAVARTHI & K.B.S.MANIKANTA BHIMAVARAM INSTITUTE OF ENGINEERING & TECHNOLOGY SKIN PUT: APPROPRIATING THE BODY AS AN INPUT SURFACE

2. EVOLUTION OF TOUCHSCREEN WHAT’S NEXT?  Motion tracking is the principle used in touch- screen

3. WHAT IT IS?  A novel input technique that allows the skin to be used as a finger input surface.  To capture this acoustic information, they developed a wearable armband that is non-invasive and easily removable http://walyou.com/touch screen-interface-on-your- arm-with-skinput/

4. ENERGY THROUGH ARM  Transverse Wave Propagation  Longitudinal Wave Propagation

5. A VIDEO ON SKINPUT

6. ARM BAND  Two arrays of five sensing elements.  Bone conduction microphones.  Microphones Placed near:  Humerus  Radius  Ulna http://www.robaid.com/gadgets/ skinput-.htm

7. HOW SKINPUT WORKS Data was then sent from the client over a local socket to our primary application, written in Java. Key function of application are:  Live visualization.  Segmentation of data stream.  Classification of Input instances. http://www.bestnweb.com/sk input-touch.html

8. EXPERIMENT  Participants 13-> 7 female, 6 male. Ages ranged from 20 to 56. Body mass indexes (BMIs) ranged From 20.5 (normal) to 31.9 (o bese).  Each participant was made to memorize the locations for a minute.

9. LOCATIONS

10.  Five Fingers When classification was incorrect, the system believed the input to be an adjacent finger 60.5% of the time. Ring finger constituted 63.3% percent of the misclassifications. RESULTS

11.  Whole Arm Below elbow placed the sensors closer to the input targets than the other conditions. The margin of error got double or tripled when eyes were closed. RESULTS

12.  Fore Arm Classification accuracy for the ten-location forearm condition stood at 81.5%. RESULTS

13. BMI EFFECTS  High BMI is correlated with decreased accuracies.  No direct relation with gender of the participant.

14. ADVANTAGES  UI will appear much larger than on screen  Can be used without a visual screen  Ideal for anyone with little to or no eyesight

15. CONCLUSION  Skin put's are not available yet, but could be in the next few years.  Since we cannot simply make buttons and screens larger it will be an alternative approach

16. 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.Images from www.google.comwww.google.com REFERENCES