Paper Info
Title
Analyzing the impact of different action primitives in designing high-level human activity recognition systems
Abstract
Designing human activity recognition systems, an integral part of any ambient assisted living environment, is an active area of research in the ubiquitous computing, wearable sensing, and computer vision communities. Yet most of the systems ignore human body motion and arm motion action primitives to recognize high-level human activities and are limited to object usage action primitives. Consequently, there is little understanding of the significance of these action primitives on the performance of activity recognition systems. In this paper, we comparatively assess the role of the object usage action primitives, body motion action primitives, and arms motion action primitives to recognize human activities of daily living. Our experiments show that the body motion action primitives and arms motion action primitives are vital to recognize the human activities that do not involve much interaction with the objects and the environment.
Year
DOI
Venue
2013
10.3233/AIS-130223
JAISE
Keywords
Field
DocType
high-level human activity,usage action primitive,body motion action primitive,high-level human activity recognition,human activity,different action primitive,human body motion,arm motion action primitive,object usage action primitive,action primitive,human activity recognition system,arms motion action primitive,machine learning
Computer vision,Sensing system,Activity recognition,Computer science,Simulation,Human–computer interaction,Artificial intelligence,Ubiquitous computing,Wearable sensing
Journal
Volume
Issue
ISSN
5
5
1876-1364
Citations 
PageRank 
References 
0
0.34
30
Authors
9
Name
Order
Citations
PageRank
Atif Manzoor117212.69
Hong-Linh Truong21861143.17
Alberto Calatroni337523.43
Daniel Roggen41851137.05
Mélanie Bouroche59116.43
Siobhán Clarke669987.36
Vinny Cahill71555133.25
Gerhard Tröster82493250.70
Schahram Dustdar99347575.71