Paper Info
Title
Using FSR based muscule activity monitoring to recognize manipulative arm gestures
Abstract
We present an experiment that investigates the usefulness of muscle monitoring information from arm mounted force sensitive resistors (FSR) for activity recognition. The paper is motivated by previous work that has demonstrated the feasibility of using FSRs for muscle activity monitoring (on leg muscles) and presented some initial signals related to distinct arm activities. We systematically investigate the performance of an FSR system on 16 different manipulative gestures and 2 subjects. The aim is to test the limits of the system, compare them to established sensing modalities (3D acceleration and gyro), and establish the value of combining FSR with other sensing modalities. We also present a hardware setup that addresses key problems that were identified in previous work: large variations in the attachment force and sensor placement accuracy issues. For all classifiers the overall accuracy of the FSR system is in the middle between the accelerometer (between 5% and 10% better) and the gyro (between 2% and 11% worse). Adding FSRs to another sensor improves the accuracy by 1% to 29%.
Year
DOI
Venue
2007
10.1109/ISWC.2007.4373776
ISWC
Keywords
Field
DocType
force sensors,gesture recognition,monitoring,resistors,wearable computers,FSR based muscule activity monitoring,accelerometer,activity recognition,arm mounted force sensitive resistors,leg muscles,manipulative arm gesture recognition,muscle activity monitoring,muscle monitoring information
Modalities,Muscle activity,Computer science,Gesture,Gesture recognition,Artificial intelligence,Computer vision,Activity recognition,Wearable computer,Accelerometer,Simulation,Acceleration,Embedded system
Conference
Citations 
PageRank 
References 
8
0.84
7
Authors
3
Name
Order
Citations
PageRank
Georg Ogris116211.06
Matthias Kreil2232.73
Paul Lukowicz33287376.79