A class of quaternion Kalman filters
C Jahanchahi, DP Mandic - IEEE Transactions on Neural …, 2013 - ieeexplore.ieee.org
The existing Kalman filters for quaternion-valued signals do not operate fully in the
quaternion domain, and are combined with the real Kalman filter to enable the tracking in 3 …
quaternion domain, and are combined with the real Kalman filter to enable the tracking in 3 …
Recognition of activities of daily living via hierarchical long-short term memory networks
M Devanne, P Papadakis - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
In order to offer optimal and personalized assistance services to frail people, smart homes or
assistive robots must be able to understand the context and activities of users. With this …
assistive robots must be able to understand the context and activities of users. With this …
[HTML][HTML] 3D sign language recognition using spatio temporal graph kernels
Abstract 3D Sign language recognition is challenging from capturing to recognition. 3D
signs are a set of spatio temporal variations of hands and fingers with respect to face, head …
signs are a set of spatio temporal variations of hands and fingers with respect to face, head …
A deep-learning method for radar micro-Doppler spectrogram restoration
Radio frequency interference, which makes it difficult to produce high-quality radar
spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In …
spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In …
Dependence of Kinect sensors number and position on gestures recognition with Gesture Description Language semantic classifier
We have checked if it is possible to increase effectiveness of standard tracking library
(Kinect Software Development Kit) by fusion of body joints gathered from different sensors …
(Kinect Software Development Kit) by fusion of body joints gathered from different sensors …
Real-time recognition of selected karate techniques using GDL approach
In this paper will be presented a new approach for recognition and interpretation of several
karate techniques used specially defined Gesture description language (GDL). The novel …
karate techniques used specially defined Gesture description language (GDL). The novel …
Wearable sensor selection, motion representation and their effect on exercise classification
N Hosein, S Ghiasi - 2016 IEEE First International Conference …, 2016 - ieeexplore.ieee.org
Motion classification using accelerometer, gyroscope and magnetometer sensors have been
an important area of exploration for the past decade. Mostly studied in the context of health …
an important area of exploration for the past decade. Mostly studied in the context of health …
Behavior generation for interactive virtual humans using context‐dependent interaction meshes and automated constraint extraction
Interaction meshes are a promising approach for generating natural behaviors of virtual
characters during ongoing user interactions. In this paper, we propose several extensions to …
characters during ongoing user interactions. In this paper, we propose several extensions to …
[PDF][PDF] ACCREDITATION TO DIRECT RESEARCH
P PAPADAKIS - 2023 - researchgate.net
Habilitation à Diriger de Recherches (HDR) de Panagiotis PAPADAKIS Page 1
ACCREDITATION TO DIRECT RESEARCH UNIVERSITY OF WESTERN BRITTANY (FRANCE) …
ACCREDITATION TO DIRECT RESEARCH UNIVERSITY OF WESTERN BRITTANY (FRANCE) …
Probabilistic discriminative dimensionality reduction for pose-based action recognition
We examine the problem of classifying action sequences given a small set of examples for
each type of action. Based on the presumption that human motion resides in a low …
each type of action. Based on the presumption that human motion resides in a low …