Assistive Technologies For Spinal Cord Injured Individuals

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Information about Assistive Technologies For Spinal Cord Injured Individuals

Published on June 12, 2008

Author: tjvguerreiro

Source: slideshare.net

Description

This a presentation on assistive technologies for spinal cord injured individuals and focused on computer control interfaces. It was performed in the scope of my Master Thesis. Check for more at my webpage (http://www.di.fc.ul.pt/~tjvg). Technical report at http://www.di.fc.ul.pt/~tjvg/amc/emgtexting/files/ta_tr.pdf

A Survey ASSISTIVE TECHNOLOGIES FOR  SPINAL CORD INJURED  INDIVIDUALS December / 2007    Tiago  Guerreiro

Tradicional Devices Tradicional Interactions

What about  the Others? 

Spinal Cord largest nerve in the body carry messages between brain and the spinal  nerves

We have the whole world in our hands.

Assistive  Technologies

Potential Users

Direct Selection Scanning Encoding Dimensionality and Input Speed

Accuracy

Ease of use

Aesthetics, Hygiene and Acceptance

Mobility Adequacy

Maturity, Availability and Cost

Soft  Adaptations

Expanded Keyboards Compact Keyboards Keyguards Typing Aids (Sticks)

Trackballs Alternative Mice Joysticks Touchpads

Mouse emulators Sticky Keys Bounce Keys Invisible Keyguard On-Screen Keyboards Key Repeat Time Key Hold Time Key Mouse

Switches, Sticks and Pointers

Button switch Thumb switch Finger tip Switch (Shannon et al, 1981) Multiple Switches

TonguePoint (Salem and Zhai, 1997) Bite switch Jouse2 – Joystick-operated Mouse

Cheek Switch Stick Head Switch

Switches, Sticks and Pointers

Sound‐Based Interfaces

Motivation natural and extensive high dimensionality direct selection works if consistent…

Speech recognition errors inadequate for continous control target‐based solutions error prone (Dai et al,, 2004)

Speech Keyboards letters (PA) and frequent words  (Dabbagh and Damper, 1985) row‐column encoding  (Dabbagh and Damper, 1985)  (Su and Chung, 2001)

Speech Mouse direction‐based solutions  predictive cursor (Karimullah and Sears, 2002) grid‐based solutions (Dai et al., 2004)

Wheelchair Control some attempts (Youdin et al., 1980) (Mazo et al., 1995) difficult and dangerous (Simpson et al., 2002) limited time range (Amori et al., 1992) proximity sensors (Simpson et al., 1992)

Environmental Control normally non‐critical  two level encoding selection (Damper, 1986) emergency mechanical switch (Carvalho et al., 1999)

(Igarashi and Hughes, 2001)

Vocal Joystick (Bilmes et al., 2006) Accoustic Mouse Pointer (Sporka et al., 2006)

Aural Flow Monitoring (Vaidyanathan et al., 2006; Vaidyanathan et al., 2007) tooth‐touch sound (Kuzume and Morimoto, 2006)

Sound Interfaces

Tracking Interfaces

Electrooculography

Relative mapping (Norris and Wilson, 1997) EagleEyes (Gips et al., 1996) (Manabe and Fukumoto, 2006) (Barea et al., 2002)

Head Optical Pointers (Chen et al., 2007) Lomak Nod and Shake (Hamman et al., 1990)

IR Reflectance Tracking Tobii 1750 Eye Tracker HeadMouse® Extreme

Appearance‐Based Tracking Face Mouse (Perini et al., 2006) Camera Mouse (Gips et al., 2000) Clicks through sound/switch Facial Mouse (Granollers et al., 2006)

Motion and Gesture Tilt Sensing (Chen et al., 2001) Intelligent Sweet Home (Do et al., 2005) WebColor Detector (Granollers et al., 2006)

Ultrasound (Lukaszewicz, 2003) HeadMaster Plus Telephone keypad (Coyle and Stewart, 1998) (Ford and Sheredos, 1995)

Tracking Interfaces

Myographic Interfaces

Muscle Contractions Electric Potencial Difference

Surface EMG

(Jeong et al., 2005) (Tarng et al., 1997) Intelligent Sweet Home (Song et al., 2005) (Park et al., 1999)

Myographic Interfaces

Brain‐Computer Interfaces

Magnetoencephalography (MEG) Magnetic Ressonance Imaging (fMRI) Positron Emission Tomography

Electroencephalography inexpensive ease of acquisition high temporal  resolution real‐time direct correlation  with brain activity

Visual Evoked Potentials (Vidal, 1973) Brain Response Interface (Sutter, 1992) P300 Evoked Potentials (Farwell and Donchin, 1988) (Wolpaw et al., 2002) (Hoffman et al., 2007) Slow Cortical Potentials Thought Translation Device (Birbaumer et al, 1999) mu and Beta Rythms (Wolpaw and McFarland et al, 2004) (Pfurtscheller et al., 2003, 2006)

Brain‐Computer Interfaces

Breath Interfaces

Sip and Puff Mouse (Kitto et al., 1994) Sip and Puff Switch Breath Joystick (Grigori and Tatiana,2000) Thermal Plumes (Michel and Rancour, 2004) BLUI (Patel and Abowd, 2007) Breath Dasher (Shorrock et al, 2004)

Breath Interfaces

Overall Discussion

Potential Users

Direct Selection Scanning Encoding Dimensionality and Input Speed

Accuracy

Ease of use

Aesthetics, Hygiene and Acceptance

Mobility Adequacy

Maturity, Availability and Cost

Concluding Remarks several technologies for  several targets all groups covered ….but still highly limited

TIAGO GUERREIRO tjvg@immi.inesc.pt

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