Frédéric Li
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View article: A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing
A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing Open
Recent advancements in hardware technology have spurred a surge in the popularity and ubiquity of wearable sensors, opening up new applications within the medical domain. This proliferation has resulted in a notable increase in the availab…
View article: Deep-learning-based Detection of Food Hypersensitivity from Confocal Laser Endomicroscopy Images of the Gastro-intestinal Tract
Deep-learning-based Detection of Food Hypersensitivity from Confocal Laser Endomicroscopy Images of the Gastro-intestinal Tract Open
Food hypersensitivity (FHS) is a relatively common pathological condition characterised by adverse reactions to specific foods, and that currently has limited diagnostic methods. Diagnostic tools using gastro-intestinal confocal laser endo…
View article: Automated Video‐Based Approach for the Diagnosis of Tourette Syndrome
Automated Video‐Based Approach for the Diagnosis of Tourette Syndrome Open
Background The occurrence of tics is the main basis for the diagnosis of Gilles de la Tourette syndrome (GTS). Video‐based tic assessments are time consuming. Objective The aim was to assess the potential of automated video‐based tic detec…
View article: Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data Open
The results of this study suggest that effective discrimination between flow and non-flow states is possible with multimodal sensor data. The success of transfer learning using the DEAP emotion dataset as a source domain indicates that emo…
View article: WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living
WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living Open
The absolute coverage WiFi networks is higher than it has ever been and WiFi sensing offers a device-free, contactless alternative to intrusive wearable devices for a variety of applications, in particular for ambient assisted living (AAL)…
View article: Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks Open
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic, and be ready to adapt to new circumstances. Most studies on driving safety focus on detecting anomalies in driver behavior and monitoring cog…
View article: Automated Motor Tic Detection: A Machine Learning Approach
Automated Motor Tic Detection: A Machine Learning Approach Open
Background Video‐based tic detection and scoring is useful to independently and objectively assess tic frequency and severity in patients with Tourette syndrome. In trained raters, interrater reliability is good. However, video ratings are…
View article: Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks Open
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic, and be ready to adapt to new circumstances. Most studies on driving safety focus on detecting anomalies in driver behavior and monitoring the…
View article: Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition Open
Artificial intelligence and especially deep learning methods have achieved outstanding results for various applications in the past few years. Pain recognition is one of them, as various models have been proposed to replace the previous go…
View article: Embedding-Based Music Emotion Recognition Using Composite Loss
Embedding-Based Music Emotion Recognition Using Composite Loss Open
Most music emotion recognition approaches perform classification or regression that estimates a general emotional category from a distribution of music samples, but without considering emotional variations (e.g., happiness can be further c…
View article: SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors Open
The perception of hunger and satiety is of great importance to maintaining a healthy body weight and avoiding chronic diseases such as obesity, underweight, or deficiency syndromes due to malnutrition. There are a number of disease pattern…
View article: Classification of Roads and Types of Public Roads Using EOG Smart Glasses and an Algorithm Based on Machine Learning While Driving a Car
Classification of Roads and Types of Public Roads Using EOG Smart Glasses and an Algorithm Based on Machine Learning While Driving a Car Open
Driving a car is an activity that became necessary for exploration, even when living in the present world. Research exploring the topic of safety on the roads has therefore become increasingly relevant. In this paper, we propose a recognit…
View article: Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data
Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data Open
Smart support systems for the recognition of Activities of Daily Living (ADLs) can help elderly people live independently for longer improving their standard of living. Many machine learning approaches have been proposed lately for Human A…
View article: A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars
A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars Open
Identifying accident patterns is one of the most vital research foci of driving analysis. Environmental or safety applications and the growing area of fleet management all benefit from accident detection contributions by minimizing the ris…
View article: Embedding-based Music Emotion Recognition Using Composite Loss
Embedding-based Music Emotion Recognition Using Composite Loss Open
Most music emotion recognition approaches perform classification or regression that estimates a general emotional category from a distribution of music samples, but without considering emotional variations (e.g., happiness can be further c…
View article: Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition
Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition Open
While even the most common definition of pain is under debate, pain assessment has remained the same for decades. But the paramount importance of precise pain management for successful healthcare has encouraged initiatives to improve the w…
View article: Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification
Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification Open
The scarcity of labelled time-series data can hinder a proper training of deep learning models. This is especially relevant for the growing field of ubiquitous computing, where data coming from wearable devices have to be analysed using pa…
View article: Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition
Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition Open
This paper addresses wearable-based recognition of Activities of Daily Living (ADLs) which are composed of several repetitive and concurrent short movements having temporal dependencies. It is improbable to directly use sensor data to reco…
View article: Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors Open
Getting a good feature representation of data is paramount for Human Activity Recognition (HAR) using wearable sensors. An increasing number of feature learning approaches—in particular deep-learning based—have been proposed to extract an …
View article: Real-Time Gesture Recognition using a Particle Filtering Approach
Real-Time Gesture Recognition using a Particle Filtering Approach Open
In this paper we present an approach for real-time gesture recognition using exclusively 1D sensor data, based on the use of Particle Filters and Dynamic Time Warping Barycenter Averaging (DBA). In a training phase, sensor records of users…