Title
A Hybrid Approach for Recognizing ADLs and Care Activities Using Inertial Sensors and RFID
Abstract
In this paper we present a feasibility study regarding the recognition of high level daily living and care activities. We examine a hybrid discriminative and model based generative approach based on RFID and inertial sensor data. We show that the presented sensor configuration is able to deliver sensor readings and object sightings at a sufficient rate without forcing user compliance. We further evaluated the advantage of a model based approach over a static classifier, compared the individual contribution of each sensor type and could reach accuracy rates of 97% and 85%.
Year
DOI
Venue
2009
10.1007/978-3-642-02710-9_21
HCI (6)
Keywords
Field
DocType
hybrid approach,accuracy rate,recognizing adls,care activity,sensor configuration,sensor reading,sensor type,inertial sensors,high level,feasibility study,daily living,generative approach,inertial sensor data
Inertial frame of reference,Computer vision,Daily living,Activity recognition,Simulation,Computer science,Care activity,Artificial intelligence,Inertial measurement unit,Classifier (linguistics),Discriminative model
Conference
Volume
ISSN
Citations 
5615
0302-9743
4
PageRank 
References 
Authors
0.51
12
2
Name
Order
Citations
PageRank
Albert Hein1316.51
Thomas Kirste29318.37