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This paper presents a feature extraction technique based on the Hilbert-Huang Transform (HHT) method for emotion recognition from physiological signals. Four kinds of physiological signals were used for analysis: electrocardiogram (ECG), electromyogram (EMG), skin conductivity (SC) and respiration changes (RSP). Each signal is decomposed into a finite set(More)
This paper addresses gait analysis for a mobility assistance robot designed for the elderly people. Six patients and ten healthy peoples were invited to be part of our first pilot experiment. We designed two experiments so as to firstly detect gait parameters and secondly to identify a change of speed. For the first trial, we compared the temporal-distance(More)
In this paper, we present an automatic motherese detection system for the study of parent-infant interaction analysis. Motherese is a speech register directed towards infants and it is characterized by higher pitch, slower tempo, and exaggerated intonation. The goal of this paper is to propose and evaluate different approaches for the detection of motherese(More)
This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called “motherese” which is characterized by higher pitch, slower tempo, and exaggerated intonation. In this work, we show the robustness of approaches to automatic discrimination between infant-directed speech and normal directed speech.(More)
We introduce an optimal approach for minimizing the computational complexity of HEVC intra encoding subject to constraints in bitrate and reconstruction quality. Our constraint-optimization approach provides an extension to the use of bit constrained rate-distortion optimization so as to minimize encoding time while also delivering sufficient video quality.(More)
An embedded 3D body motion capture system for an assistive walking robot is presented in this paper. A 3D camera and infrared sensors are installed on a wheeled walker. We compare the positions of the human articular joints computed with our embedded system and the ones obtained with an other accurate system using embodied markers, the Codamotion. The(More)
We propose a human motion capture system embedded on a walker. It is constituted by a SwissRanger 3D camera and two infrared distance sensors. This paper deals especially with an original prediction module which is added to the observation system in order to improve its accuracy. A Kalman filter is used to estimate some parameters of the gait, the step(More)
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