46 citations · 63 across the 12 of their papers we have counts for
12 papers
Recognition of Daily Activities through Multi-Modal Deep Learning: A Video, Pose, and Object-Aware Approach for Ambient Assisted Living
Kooshan Hashemifard, Pau Climent-Pérez, Francisco Florez-Revuelta
Recognition of daily activities is a critical element for effective Ambient Assisted Living (AAL) systems, particularly to monitor the well-being and support the independence of ol…
50 questions on Active Assisted Living technologies. Global edition
Francisco Florez-Revuelta, Alin Ake-Kob, Pau Climent-Perez +23
This booklet on Active Assisted Living (AAL) technologies has been created as part of the GoodBrother COST Action, which has run from 2020 to 2024. COST Actions are European resear…
Weakly Supervised Human Skin Segmentation using Guidance Attention Mechanisms
Kooshan Hashemifard, Pau Climent-Perez, Francisco Florez-Revuelta
Human skin segmentation is a crucial task in computer vision and biometric systems, yet it poses several challenges such as variability in skin color, pose, and illumination. This…
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms
Sophie Noiret, Siddharth Ravi, Martin Kampel +1
As the privacy risks posed by camera surveillance and facial recognition have grown, so has the research into privacy preservation algorithms. Among these, visual privacy preservat…
State of the Art of Audio- and Video-Based Solutions for AAL
Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius +36
The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) re…
A Review on Visual Privacy Preservation Techniques for Active and Assisted Living
Siddharth Ravi, Pau Climent-Pérez, Francisco Florez-Revuelta
This paper reviews the state of the art in visual privacy protection techniques, with particular attention paid to techniques applicable to the field of active and assisted living…
EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subsets
Francisco Florez-Revuelta
This paper presents a new evolutionary approach, EvoSplit, for the distribution of multi-label data sets into disjoint subsets for supervised machine learning. Currently, data set…
A Multiple Data Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +4
Most mobile devices include motion, magnetic, acoustic, and location sensors. They allow the implementation of a framework for the recognition of Activities of Daily Living (ADL) a…
Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +2
Several types of sensors have been available in off-the-shelf mobile devices, including motion, magnetic, vision, acoustic, and location sensors. This paper focuses on the fusion o…
User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +1
The detection of the environment where user is located, is of extreme use for the identification of Activities of Daily Living (ADL). ADL can be identified by use of the sensors av…
Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +2
This paper focuses on the recognition of Activities of Daily Living (ADL) applying pattern recognition techniques to the data acquired by the accelerometer available in the mobile…
A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset
José Ramón Padilla-López, Alexandros André Chaaraoui, Francisco Flórez-Revuelta
This paper aims to determine which is the best human action recognition method based on features extracted from RGB-D devices, such as the Microsoft Kinect. A review of all the pap…