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ICIP
2005
IEEE
15 years 3 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...
IROS
2007
IEEE
128views Robotics» more  IROS 2007»
15 years 4 months ago
EMG-based teleoperation of a robot arm using low-dimensional representation
Abstract— In robot teleoperation scenarios, the interface between the user and the robot is undoubtedly of high importance. In this paper, electromyographic (EMG) signals from mu...
Panagiotis K. Artemiadis, Kostas J. Kyriakopoulos
TASLP
2008
140views more  TASLP 2008»
14 years 9 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
AAAI
2004
14 years 11 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
73
Voted
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 4 months ago
Information-optimal selective data return for autonomous rover traverse science and survey
— Selective data return leverages onboard data analysis to allocate limited bandwidth resources during remote exploration. Here we present an adaptive method to subsample image s...
David R. Thompson, Trey Smith, David Wettergreen