Predicting the State of a Person by an Office-Use Autonomous Mobile Robot

Authors:
Asuki Kouno;Daisuke Takayama;Einoshin Suzuki
Affiliations:
-;-;-
Venue:
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Year:
2012

Citing 8
Cited 1

Data Mining

Data Mining
Multi-Camera Human Activity Monitoring

Journal of Intelligent and Robotic Systems
Monitoring Activities of Daily Living (ADLs) of Elderly Based on 3D Key Human Postures

Cognitive Vision
Constructing low-cost swarm robots that march in column formation

ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing Their Trajectories

WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics

WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit

ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms

ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops

Intelligent data analysis by a home-use human monitoring robot

IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis

Quantified Score

Hi-index	0.00

Visualization

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.