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Evaluation of Gesture Interfaces	

24 June 2013	
	
Alexander Schulze 	
as2271@cam.ac.uk
hand gesture
depth image 	
	
sequence
hand gesture	

position tracking	

depth image sequence	

gesture recognition	
hand 1: U move
hand 2: show 5

gesture description
Agenda	
Range-imaging technologies	
How can a depth map be computed?	

Experiment: Gestures based interfaces	
Which gestures are suitable to control a computer?	

Conclusion for gesture interfaces	
Do gestures in"uence future interactions?
Range-imaging technologies
Range-imaging for gesture interfaces	
	
§  What are suitable devices for gesture interfaces
to be widely used?
Range-imaging for gesture interfaces	
	
§  What are suitable devices for gesture interfaces
to be widely used?	

a#ordable
Range-imaging for gesture interfaces	
	
§  What are suitable devices for gesture interfaces
to be widely used?	

a#ordable	

compact
Range-imaging for gesture interfaces	
	
§  What are suitable devices for gesture interfaces
to be widely used?	

a#ordable	

compact	

mobile
Range-imaging for gesture interfaces	
	
§  What are suitable devices for gesture interfaces
to be widely used?	

a#ordable	

compact	

mobile	

markerless
Range-imaging technologies	
Structured light	

Time of "ight	

Amplitude modulation
Range-imaging technologies	
Structured light	

Time of "ight	

Amplitude modulation
Range-imaging technologies	
Structured light	

Time of "ight	

Amplitude modulation
Triangulation Geometric distance computation
Structured Light Parallel light sources
Time of "ight Light distance di#erences
Amplitude modulation Sending light waves	
	
coherent light source	
	
	
	
	
signal	
	
	
	
amplitude modulated light
Comparison Suitable depth cameras	
	
Range	
	
Amplitude
	
modulation	
	
	
Accuracy	
	
Time of
	
 Structured
light	
"ight	
	
	
Image resolution	

<	

	

Time of
"ight	

Amplitude
modulation	

Structured
light	

<	
<	

Time of
"ight	

Amplitude
modulation	

Structured
light
Comparison Suitable depth cameras	
	
§ 
	
§ 
	
§ 
	
§ 

Depth resolution and range	
Update rate and latency	
Robustness	
Spatial resolution of depth image
0.01mm
Experiment: Gesture based interfaces
Semiotic gestures Navigation	

Rotation

Zooming
Pseudo-ergotic gestures Manipulation	

Selecting

Dragging

Dropping

Flipping
Results Times for traditional and gesture input	
time [min] 35
30
25
20
15
10
5
0
Mouse

Gesture
Results Further results from questionnaires	
	
	
§  Gesture input is more fun, but less e$cient and
accurate	
	
§  Correlation between participants who never played
physical LEGO and long construction times for gesture
interface	
§  Semiotic gestures are easy to use	
§  Most participants prefer a combination of gesture input
together with traditional input
Conclusion for gesture interfaces
Navigation Accuracy and precision	
	
	
§  Imprecise actions can be controlled by gestures	
§  Gestures might support creativity
Manipulation Accuracy and precision	
	
	
§  Gesture input cannot replace precise mouse and
keyboard input
Conclusion Gesture Interpretation	
	
	
§  Most current gesture interfaces are built for controlling
the computer; however, gestures are a subconscious
expression of human feelings	
	
§  Experience of haptic feedback in ergotic physical
gestures is helpful for simulating the haptic feedback in
related pseudo-ergotic gestures
Questions?
Photos	
http://www.vriendinnen.be/user%les/images/maatschappij/
2011/april2011/interactiefwinkelraam.jpg	
	
http://static.giantbomb.com/uploads/original/
8/86760/1804618-image_kinect_fun_lab_15890_2316_0007.jpg	
	
https://www.leapmotion.com/media/leap_motion_media.zip	
	
http://media.salon.com/2013/01/gadget-showintel.jpeg1-1280x960.jpg
Photos	
http://www.misure.unisa.it/uploads/2814/scanner_struct.jpg	
	
http://miac.unibas.ch/PMI/04-BasicsOfUltrasound-media/%gs/
time-of-"ight.png	
	
https://www.leapmotion.com/media/leap_motion_media.zip	
	
http://images.businessweek.com/ss/
06/11/1129_makingof_lego/image/intro.jpg

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Evaluation of 3d gesture interfaces