Precision Nutrition research aims to use personal information about individuals or groups of
individuals to deliver nutritional advice that, theoretically, would be more suitable than …

Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Algorithms that can determine the type of physical activity (PA) and quantify the intensity can
allow precision medicine approaches, such as automated insulin delivery systems that …

Accurately measuring a person's level of stress can have a wide variety of impacts, not only
on human health, but also on the perceived feeling of safety when going after daily habits …

This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …

The strong relationship between physical health and emotional status of an individual is well-
known since many decades. Today, the availability of wearable sensors to easily and …

We investigated affective touch as a new pathway to passively mitigate in-the-moment
anxiety. While existing mobile interventions offer great promises for health and well-being …

Introduction The purpose of this study is to investigate the importance of respiratory features,
relative to heart rate (HR), when estimating rating of perceived exertion (RPE) using …

The quantification of subjective exertion during training is an important measurement as it
has the potential to avoid injuries resulting from overtraining. In this paper, we present a …

Many people live under stressful conditions which has an adverse effect on their health.
Human stress, especially long-term one, can lead to a serious illness. Therefore, monitoring …