DocumentCode :
2911978
Title :
Virtual switch human-machine interface using fingernail touch sensors
Author :
Mascaro, Stephen ; Asada, H. Harry
Author_Institution :
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
2533
Abstract :
A novel human-machine interface using wearable sensors is presented. Fingernail sensors that detect touch forces at the fingertip are used as a means to acquire human intentions of pressing buttons and switches. The sensor is worn on the fingernail (and looks like an ornamental fingernail). Combined with a magnetic tracker detecting the position of the human hand, it identifies which switch the human wishes to push and when the switch has been pushed. This allows traditional physical switches, embedded in a wall, control panel, etc., to be replaced by “virtual switches” that contain no electrical circuits or mechanical parts, but are merely pictures showing the location of the switch. In the virtual switch system, the location and functionality of switches are determined by software and can thereby be changed flexibly depending on the progress of task performance, environmental conditions, and context. The virtual switch method is combined with a “hyper manual” that stores task-procedure and operational information on a computer. Monitoring the human task performance allows the digital hyper manual to better guide the human, detect errors, and provide a safer environment
Keywords :
haptic interfaces; tactile sensors; context; environmental conditions; fingernail touch sensors; hyper manual; magnetic tracker; task performance; touch force detection; virtual switch human-machine interface; Humans; Magnetic sensors; Magnetic switching; Man machine systems; Pressing; Software performance; Switches; Switching circuits; Tactile sensors; Wearable sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location :
Detroit, MI
ISSN :
1050-4729
Print_ISBN :
0-7803-5180-0
Type :
conf
DOI :
10.1109/ROBOT.1999.773978
Filename :
773978
Link To Document :
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