Thomas Zimmerman
Massachusetts Institute of Technology
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Featured researches published by Thomas Zimmerman.
human factors in computing systems | 1987
Thomas Zimmerman; Jaron Lanier; Chuck Blanchard; Steve Bryson; Young Harvill
This paper reports on the development of a hand to machine interface device that provides real-time gesture, position and orientation information. The key element is a glove and the device as a whole incorporates a collection of technologies. Analog flex sensors on the glove measure finger bending. Hand position and orientation are measured either by ultrasonics, providing five degrees of freedom, or magnetic flux sensors, which provide six degrees of freedom. Piezoceramic benders provide the wearer of the glove with tactile feedback. These sensors are mounted on the light-weight glove and connected to the driving hardware via a small cable. Applications of the glove and its component technologies include its use in conjunction with a host computer which drives a real-time 3-dimensional model of the hand allowing the glove wearer to manipulate computer-generated objects as if they were real, interpretation of finger-spelling, evaluation of hand impairment in addition to providing an interface to a visual programming language.
human factors in computing systems | 1995
Thomas Zimmerman; Joshua R. Smith; Joseph A. Paradiso; David Allport; Neil Gershenfeld
A non-contact sensor based on the interaction of a person with electric fields for human-computer interface is investigated. Two sensing modes are explored: an external electric field shunted to ground through a human body, and an external electric field transmitted through a human body to stationary receivers. The sensors are low power (milliwatts), high resolution (millimeter) low cost (a few dollars per channel), have low latency (millisecond), high update rate (1 kHz), high immunity to noise (>72 dB), are not affected by clothing, surface texture or reflectivity, and can operate on length scales from microns to meters. Systems incorporating the sensors include a finger mouse, a room that knows the location of its occupant, and people-sensing furniture. Haptic feedback using passive materials is described. Also discussed are empirical and analytical approaches to transform sensor measurements into position information.
Archive | 1997
Neil Gersheneld; Thomas Zimmerman; David Allport
Archive | 1989
Young Harvill; Thomas Zimmerman; Jean-Jacques G. Grimaud
Archive | 1996
Neil Gershenfeld; Thomas Zimmerman; David Allport
Archive | 1992
Jaron Lanier; Thomas Zimmerman
IEEE Pervasive Computing | 2008
Joseph A. Paradiso; John S. Heidemann; Thomas Zimmerman
Archive | 1996
Neil Gershenfeld; Thomas Zimmerman; David Allport
Archive | 1996
Neil Gershenfeld; Thomas Zimmerman; David Allport
Archive | 1996
Neil Gershenfeld; Thomas Zimmerman; David Allport