Title
Predicting the State of a Person by an Office-Use Autonomous Mobile Robot
Abstract
In this paper we construct an office-use autonomous mobile robot which predicts the state (either stressed, relaxed, usual, or non-existent) of a person at different places and navigates between the places. The productivity of an office worker in advanced countries is a crucial concern and we believe autonomous mobile robots without network connection and with a privacy switch are preferred to privacy-offending solutions such as monitoring cameras. We exploit recent advances in hardware and software to keep the construction cost low. The state prediction of a person in an office is based on support vector machines with image processing with stereo vision. The robot navigation between the prediction places is based on a look-around solution that we devised. Experiments using 8 hours of data gave promising results.
Year
DOI
Venue
2012
10.1109/WI-IAT.2012.183
WI-IAT), 2012 IEEE/WIC/ACM International Conferences
Keywords
Field
DocType
data privacy,mobile robots,robot vision,service robots,stereo image processing,support vector machines,visual perception,construction cost,image processing,look-around solution,monitoring cameras,office worker,office-use autonomous mobile robot,privacy switch,privacy-offending solutions,productivity,robot navigation,state prediction,stereo vision,support vector machines,SVM,human monitoring,robot navigation
Data mining,Social robot,Robot control,Computer science,Personal robot,Exploit,Human–computer interaction,Software,Mobile robot navigation,Robot,Mobile robot,Embedded system
Conference
Volume
ISBN
Citations 
2
978-1-4673-6057-9
3
PageRank 
References 
Authors
0.40
11
3
Name
Order
Citations
PageRank
Asuki Kouno1202.46
Daisuke Takayama2152.10
Einoshin Suzuki385393.41