Hartung-Gorre Verlag

Inh.: Dr. Renate Gorre

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Series in Microelectronics

edited by         Wolfgang Fichtner
                        Qiuting Huang
                        Heinz Jäckel
                        Hans Melchior
                        George S. Moschytz
                        Gerhard Tröster

Vol. 158

Holger Junker

Human Activity Recognition

and Gesture Spotting

with Body-Worn Sensors.

2005; 260 pages. € 64,00. ISBN 3-86628-005-X

Wearable systems promise to become the next generation computer systems. Seamlessly integrated into the user’s outfit, wearable computers will create a truly mobile workspace using enhanced human-computer interfaces. Moreover, they will act as an invisible, personalized assistant for the user, being able to sense and to adapt to the user’s context and personal needs, respectively. The implementation of such systems poses many challenges in a number of different research areas. In this respect, reliable recognition of human motion plays an important role, e.g. enabling gesture-based, human-computer interaction, and providing the basis for the recognition of the user’s overall context. This work focuses on the design and evaluation of algorithms to facilitate on-line recognition of human motion with body-worn sensors, and on the development of methodologies to help in the design process of motion-aware, wearable systems.

Holger Junker received the Dipl.-Ing. (MSc) degree in electrical engineering from the Technical University (TU) Braunschweig, Germany in 2000, and the Dr. sc. ETH Z¨ urich (PhD) degree in information technology and electrical engineering from the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 2005. He joined the Electronics Laboratory at ETH Zurich in 2000 as a research and teaching assistant in the Wearable Computing Group. His research interests include wearable computing, pattern recognition, context modeling and recognition, and hardware design of context-aware system architectures.

Keywords: Human Activity Recognition, Gesture Spotting, Body-Worn Sensors

Series in Microelectronics

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