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Massachusetts Institute of Technology

HCI gesture tracking using wearable passive tags

Abstract

dc:description.abstract

In this thesis. a wearable system is developed to track hand gestures with passive RFID sensor tags. This system was composed of an ultra-high frequency reader and small, passive, finger-worn tags powered by scavenged RFID energy equipped with a variety of sensors that could be used to detect gestures. The primary physical goals of the system were to be comfortable and wearable without interfering with other everyday activities. The computational goals of the system were to track particular hand movements, which could be used to control a wearable computer or aid in interaction with ubiquitous and other wearable devices. As a user is walking through their environments, we aim to avoid the need for pulling out an interface with keyboard, keypad, or touch screen, and also avoid bulky hand-held interfaces, allowing the user to specify input with their fingers without taking their eyes and attention off their immediate focus. This thesis first introduces our hardware, then gives some example user interface implementations, such as a mouse controlled by hand position and a click controlled by finger proximity, entering input by touching fingers., setting options when moving the hand to a particular spot of the users apparel labeled with a passive RFID tag, and otherwise mapping control onto motion of the hand, arm, and fingers. We evaluate the effectiveness of our interface via a series of user studies. The overall system was somewhat successful, but as this is an early implementation, it was still very much limited by transmit power and antenna efficiency, due to the constraints on the size of the passive tags.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bainbridge, Rachel M
Advisor dc:contributor.advisor
  • Joseph A. Paradiso.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/62633
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/62633

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Bainbridge, Rachel M. HCI gesture tracking using wearable passive tags. Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62633