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1
SRI SIDDHARTHA ACADEMY OF HIGHER EDUCATION
(DEEMED TO BE UNIVERSITY, Accredited A+ Grade by NAAC)
Sri Siddhartha Institute of Technology-Tumakuru
(A CONSTITUENT COLLEGE OF SSAHE)
Department of Electronics & Communication Engineering
(ACCREDITED BY NBA)
Technical Seminar (EC8TS1)
on
“SKINPUT TECHNOLOGY”
Presented By:
Adarsha N (20EC004)
8th semester
Under the Guidance of:
C R Mohan Kumar B.E, M.Tech,(Ph.D)
Assistant Professor
Dept. of ECE, SSIT
27/03/2024
Dream High
2
OUTLINE
 INTRODUCTION
 LITERATURE SURVEY
 METHODOLOGY / TECHNOLOGY
 ADVANTAGES AND LIMITATIONS
 APPLICATIONS
 CONCLUSION
 REFERENCES
Dream High
3
INTRODUCTION
 Skinput is a technology which uses the surface of the skin as an input device.
 To capture the acoustic information, developed a wearable armband that is
noninvasive and easily removable.
 Skinput allows the user to simply tap their skin in order to control audio
devices, play games, make phone call.
 It uses the sensors to determine where the user tap on their skin.
 It listens to vibrations in your body.
 Skinput also responds to the various hand gestures.
Dream High
4
LITERATURE SURVEY
Sl. No. TITLE of the Paper
AUTHORs
& YEAR OBSERVATIONS
01 Skinput: Appropriating the Skin as an
Interactive Canvas.
Desney Tan and Dan Morris,
8, august 2022,
communications of the ACM,
vol. 54.
• Specifically resolve the location of finger taps
on the arm and hand using a novel sensor array,
worn as an armband . This provides an on body
finger input system that is always available,
naturally portable and minimally invasive.
when coupled with the pico-projector a fully
interactive graphical interface can be rendered
directly on the body.
02 The Sound of One Hand: A Wrist-
mounted Bio acoustic Fingertip
Gesture Interface.
Amento B, Hill W and Terveen L,
April 2021
• A novel interaction technique that utilizes the
bio-acoustic properties of the human hand.
Gentle fingertip gestures such as tapping,
rubbing, and flicking produce quiet sounds that
travel through bone conduction the hand.
Dream High
5
Sl. No. TITLE of the Paper AUTHORs
& YEAR
OBSERVATIONS
03 Vision-based Interpretation of Hand
Gestures for Remote Control of a
Computer Mouse.
Argyros A and Lourakis M I
A, 2021
• The vision-based interface that allows for
controlling a computer mouse through 2D
and 3D hand gestures.
• It builds upon previous work that enables the
detection and tracking of multiple hands
within the view of a potentially moving
camera system.
04 Hambone: A Bio-Acoustic Gesture
Interface.
Deyle T, Palinko S, Poole E S
and Starner T, 2019
• Hambone is introduced as a lightweight,
unobtrusive system designed for gesture
based mobile device interaction. It affords
quick access, subtlety, and multitasking
capabilities.
Dream High
6
TECHNOLOGY
Arm band detects the acoustic signals and convert them to electronic signals which
easily enable the users to perform simple tasks as browsing through a mobile phone
menu, making calls, controlling portable music players.
Figure 1: Skinput technology
Dream High
7
 The Skinput sensor senses, analyze, and classify bioacoustics signals.
 Tap on the arm translates through sensors into an instruction on a menu.
 The graphic display appears on arm or hand.
 The display is set up to be located, and from then on it’s like using a cell phone.
 Arm is better, because the graphic display on arm is about 200 times bigger.
 Can use Skinput to control devices you carry, like a dashboard setup.
Dream High
8
Pico-Projector
 Pico projector applies the use of projector in a hand held device.
 An acoustic detector detects the ultra low frequency.
 A very small projector, basically used in gadgets.
 Simply by tapping on our forearm skin’s can make calls or send a message.
Figure 2: Combiner optics
Dream High
9
Armband
 The armband used in the skinput contains series sensors and embedded Pico-
projector.
 The arm band provides attractive Graphical user interface (GUI) along with all
modern features to navigate within different menus.
Figure 3: Armband Device
Dream High
10
Bio- Acoustic
 Study of sound waves inside living body.
 When a finger tap the skin, several distinct forms of acoustic energy are produced.
Dream High
11
ADVANTAGES AND LIMITATIONS
ADVANTAGES
 Hands-free operation
 Don’t have to worry about keypad
 Portable and wearable
 Accessibility
LIMITATIONS
 Limited input options
 Arm band is large
 Provide Solely five buttons
Dream High
12
APPLICATIONS
 Healthcare
 Fitness and wellness
 Gaming and entertainment
 Industrial and military applications
Dream High
13
CONCLUSION
 Skinput allows the human body as an input surface.
 It describes a novel, wearable bio-acoustic sensing array that we built into
an armband in order to detect and localize finger taps on the forearm and
hand.
 This system performs well even when the body is in motion.
Dream High
14
REFERENCES
1. Desney Tan and Dan Morris, Skinput: Appropriating the Skin as an Interactive Canvas by
Chris Harrison, communications of the ACM, vol. 54, no. 8, august 2022.
2. Amento B, Hill W and Terveen L, “ The Sound of One Hand: A Wrist-mounted Bio-
acoustic Fingertip Gesture Interface” was published on 20 April 2021.
3. Argyros A and Lourakis M I A, “Vision-based Interpretation of Hand Gestures for
Remote Control of a Computer Mouse” was published in the year 2021.
4. Deyle T, Palinko S, Poole E S and Starner T, “Hambone: A Bio-Acoustic Gesture
Interface” was published in the year 2019.
5. Erol A, Bebis G, Nicolescu M, Boyle R D and Twombly X, “Vision-based hand pose
estimation: A review” was published in the year 2019.
Dream High
15
6. Chris Harrison, Desney Tan, and Dan Morris, “Appropriating the Body as an Input
Surface” was published in the year 2018.
7. Sanjay Kumar Sahay and Kshitij Verma. “Human Body as a Touch Interface” was
published in the year 2017.
8. Joaquim Jorge and João Rodrigues”, “Skin-Based Interfaces for Interactive Devices”
was published in the year 2017.
9. Grimes, D., Tan, D., Hudson, S.E., Shenoy, P., and Rao, R. Feasibility and pragmatics of
classifying working memory load with an electroencephalograph, in the year 2015.
10. Harrison, C., and Hudson, S.E. Scratch Input: Creating Large, Inexpensive, Unpowered
and Mobile finger Input Surfaces in the year 2015.
Dream High
16
THANK YOU

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Adarsha PPT.pptx skinput technology based

  • 1. 1 SRI SIDDHARTHA ACADEMY OF HIGHER EDUCATION (DEEMED TO BE UNIVERSITY, Accredited A+ Grade by NAAC) Sri Siddhartha Institute of Technology-Tumakuru (A CONSTITUENT COLLEGE OF SSAHE) Department of Electronics & Communication Engineering (ACCREDITED BY NBA) Technical Seminar (EC8TS1) on “SKINPUT TECHNOLOGY” Presented By: Adarsha N (20EC004) 8th semester Under the Guidance of: C R Mohan Kumar B.E, M.Tech,(Ph.D) Assistant Professor Dept. of ECE, SSIT 27/03/2024
  • 2. Dream High 2 OUTLINE  INTRODUCTION  LITERATURE SURVEY  METHODOLOGY / TECHNOLOGY  ADVANTAGES AND LIMITATIONS  APPLICATIONS  CONCLUSION  REFERENCES
  • 3. Dream High 3 INTRODUCTION  Skinput is a technology which uses the surface of the skin as an input device.  To capture the acoustic information, developed a wearable armband that is noninvasive and easily removable.  Skinput allows the user to simply tap their skin in order to control audio devices, play games, make phone call.  It uses the sensors to determine where the user tap on their skin.  It listens to vibrations in your body.  Skinput also responds to the various hand gestures.
  • 4. Dream High 4 LITERATURE SURVEY Sl. No. TITLE of the Paper AUTHORs & YEAR OBSERVATIONS 01 Skinput: Appropriating the Skin as an Interactive Canvas. Desney Tan and Dan Morris, 8, august 2022, communications of the ACM, vol. 54. • Specifically resolve the location of finger taps on the arm and hand using a novel sensor array, worn as an armband . This provides an on body finger input system that is always available, naturally portable and minimally invasive. when coupled with the pico-projector a fully interactive graphical interface can be rendered directly on the body. 02 The Sound of One Hand: A Wrist- mounted Bio acoustic Fingertip Gesture Interface. Amento B, Hill W and Terveen L, April 2021 • A novel interaction technique that utilizes the bio-acoustic properties of the human hand. Gentle fingertip gestures such as tapping, rubbing, and flicking produce quiet sounds that travel through bone conduction the hand.
  • 5. Dream High 5 Sl. No. TITLE of the Paper AUTHORs & YEAR OBSERVATIONS 03 Vision-based Interpretation of Hand Gestures for Remote Control of a Computer Mouse. Argyros A and Lourakis M I A, 2021 • The vision-based interface that allows for controlling a computer mouse through 2D and 3D hand gestures. • It builds upon previous work that enables the detection and tracking of multiple hands within the view of a potentially moving camera system. 04 Hambone: A Bio-Acoustic Gesture Interface. Deyle T, Palinko S, Poole E S and Starner T, 2019 • Hambone is introduced as a lightweight, unobtrusive system designed for gesture based mobile device interaction. It affords quick access, subtlety, and multitasking capabilities.
  • 6. Dream High 6 TECHNOLOGY Arm band detects the acoustic signals and convert them to electronic signals which easily enable the users to perform simple tasks as browsing through a mobile phone menu, making calls, controlling portable music players. Figure 1: Skinput technology
  • 7. Dream High 7  The Skinput sensor senses, analyze, and classify bioacoustics signals.  Tap on the arm translates through sensors into an instruction on a menu.  The graphic display appears on arm or hand.  The display is set up to be located, and from then on it’s like using a cell phone.  Arm is better, because the graphic display on arm is about 200 times bigger.  Can use Skinput to control devices you carry, like a dashboard setup.
  • 8. Dream High 8 Pico-Projector  Pico projector applies the use of projector in a hand held device.  An acoustic detector detects the ultra low frequency.  A very small projector, basically used in gadgets.  Simply by tapping on our forearm skin’s can make calls or send a message. Figure 2: Combiner optics
  • 9. Dream High 9 Armband  The armband used in the skinput contains series sensors and embedded Pico- projector.  The arm band provides attractive Graphical user interface (GUI) along with all modern features to navigate within different menus. Figure 3: Armband Device
  • 10. Dream High 10 Bio- Acoustic  Study of sound waves inside living body.  When a finger tap the skin, several distinct forms of acoustic energy are produced.
  • 11. Dream High 11 ADVANTAGES AND LIMITATIONS ADVANTAGES  Hands-free operation  Don’t have to worry about keypad  Portable and wearable  Accessibility LIMITATIONS  Limited input options  Arm band is large  Provide Solely five buttons
  • 12. Dream High 12 APPLICATIONS  Healthcare  Fitness and wellness  Gaming and entertainment  Industrial and military applications
  • 13. Dream High 13 CONCLUSION  Skinput allows the human body as an input surface.  It describes a novel, wearable bio-acoustic sensing array that we built into an armband in order to detect and localize finger taps on the forearm and hand.  This system performs well even when the body is in motion.
  • 14. Dream High 14 REFERENCES 1. Desney Tan and Dan Morris, Skinput: Appropriating the Skin as an Interactive Canvas by Chris Harrison, communications of the ACM, vol. 54, no. 8, august 2022. 2. Amento B, Hill W and Terveen L, “ The Sound of One Hand: A Wrist-mounted Bio- acoustic Fingertip Gesture Interface” was published on 20 April 2021. 3. Argyros A and Lourakis M I A, “Vision-based Interpretation of Hand Gestures for Remote Control of a Computer Mouse” was published in the year 2021. 4. Deyle T, Palinko S, Poole E S and Starner T, “Hambone: A Bio-Acoustic Gesture Interface” was published in the year 2019. 5. Erol A, Bebis G, Nicolescu M, Boyle R D and Twombly X, “Vision-based hand pose estimation: A review” was published in the year 2019.
  • 15. Dream High 15 6. Chris Harrison, Desney Tan, and Dan Morris, “Appropriating the Body as an Input Surface” was published in the year 2018. 7. Sanjay Kumar Sahay and Kshitij Verma. “Human Body as a Touch Interface” was published in the year 2017. 8. Joaquim Jorge and João Rodrigues”, “Skin-Based Interfaces for Interactive Devices” was published in the year 2017. 9. Grimes, D., Tan, D., Hudson, S.E., Shenoy, P., and Rao, R. Feasibility and pragmatics of classifying working memory load with an electroencephalograph, in the year 2015. 10. Harrison, C., and Hudson, S.E. Scratch Input: Creating Large, Inexpensive, Unpowered and Mobile finger Input Surfaces in the year 2015.