Work

Automatic recognition of object use based on wireless motion sensors

Year: 2010

Type: conference-paper

Abstract: In this paper, we present a method for automatic, online detection of a user's interaction with objects. This represents an essential building block for improving the performance of distributed activity recognition systems. Our method is based on correlating features extracted from motion sensors worn by the user and attached to objects. We present a complete implementation of the idea, using miniaturized wireless sensor nodes equipped with motion sensors. We achieve a recognition accuracy of 97% for a target response time of 2 seconds. The implementation is lightweight, with low communication bandwidth and processing needs. We illustrate the potential of the concept by means of an interactive multi-user game.

Source: International Symposium on Wearable Computers

DOI: 10.1109/iswc.2010.5665858

Authors: Stephan Bosch, Raluca Marin-Perianu, Paul Havinga, Arie Horst, Mihai Marin-Perianu, Andrei Vasilescu

Institution: University of Twente

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2005256025

FWCI: 2.21

Cites: 10

Cited by: 57

Related to: 10