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ICRA
2010
IEEE
110views Robotics» more  ICRA 2010»
13 years 6 months ago
Person identification by integrating wearable sensors and tracking results from environmental sensors
— To provide personal and location-dependent services in public spaces such as shopping malls, it is important to be able to estimate the positions and identities of people in th...
Tetsushi Ikeda, Hiroshi Ishiguro, Dylan F. Glas, M...
PETRA
2009
ACM
14 years 1 months ago
Identifying people in camera networks using wearable accelerometers
We propose a system to identify people in a sensor network. The system fuses motion information measured from wearable accelerometer nodes with motion traces of each person detect...
Thiago Teixeira, Deokwoo Jung, Gershon Dublon, And...
HAPTICS
2005
IEEE
14 years 1 months ago
Wearable Kinesthetic System for Capturing and Classifying Upper Limb Gesture
Background: Monitoring body kinematics has fundamental relevance in several biological and technical disciplines. In particular the possibility to exactly know the posture may fur...
R. Bartalesi, Federico Lorussi, M. Tesconi, Alessa...
ICASSP
2011
IEEE
12 years 11 months ago
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter
A new method is presented for integration of audio and visual information in multiple target tracking applications. The proposed approach uses a Bayesian filtering formulation an...
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David S...
ICMCS
2007
IEEE
208views Multimedia» more  ICMCS 2007»
13 years 11 months ago
A Cognitive and Unsupervised Map Adaptation Approach to the Recognition of the Focus of Attention from Head Pose
In this paper, the recognition of the visual focus of attention (VFOA) of meeting participants (as defined by their eye gaze direction) from their head pose is addressed. To this ...
Jean-Marc Odobez, Sileye O. Ba