Promoting employee health in smart office: A survey
The advancement of Internet-of-Things (IoT) and artificial intelligence contribute to the
prevailing development of smart office, which is capable of understanding employees' …
prevailing development of smart office, which is capable of understanding employees' …
State-of-the-art of stress prediction from heart rate variability using artificial intelligence
Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
Self-supervised ECG representation learning for emotion recognition
We exploit a self-supervised deep multi-task learning framework for electrocardiogram
(ECG)-based emotion recognition. The proposed solution consists of two stages of learning …
(ECG)-based emotion recognition. The proposed solution consists of two stages of learning …
Stress detection with machine learning and deep learning using multimodal physiological data
P Bobade, M Vani - 2020 Second International Conference on …, 2020 - ieeexplore.ieee.org
Stress is a common part of everyday life that most people have to deal with on various
occasions. However, having long-term stress, or a high degree of stress, will hinder our …
occasions. However, having long-term stress, or a high degree of stress, will hinder our …
Personalized multitask learning for predicting tomorrow's mood, stress, and health
While accurately predicting mood and wellbeing could have a number of important clinical
benefits, traditional machine learning (ML) methods frequently yield low performance in this …
benefits, traditional machine learning (ML) methods frequently yield low performance in this …
Classification of mental stress from wearable physiological sensors using image-encoding-based deep neural network
The human body is designed to experience stress and react to it, and experiencing
challenges causes our body to produce physical and mental responses and also helps our …
challenges causes our body to produce physical and mental responses and also helps our …
Self-supervised learning for ecg-based emotion recognition
We present an electrocardiogram (ECG)-based emotion recognition system using self-
supervised learning. Our proposed architecture consists of two main networks, a signal …
supervised learning. Our proposed architecture consists of two main networks, a signal …
[Retracted] Employing Multimodal Machine Learning for Stress Detection
In the current information age, the human lifestyle has become more knowledge‐oriented,
leading to sedentary employment. This has given rise to a number of health and mental …
leading to sedentary employment. This has given rise to a number of health and mental …
[HTML][HTML] An interpretable machine learning approach to multimodal stress detection in a simulated office environment
Background and objective: Work-related stress affects a large part of today's workforce and
is known to have detrimental effects on physical and mental health. Continuous and …
is known to have detrimental effects on physical and mental health. Continuous and …
Stress detection in working people
S Sriramprakash, VD Prasanna, OVR Murthy - Procedia computer science, 2017 - Elsevier
Stress detector classifies a stressed individual from a normal one by acquiring his/her
physiological signals through appropriate sensors such as Electrocardiogram (ECG) …
physiological signals through appropriate sensors such as Electrocardiogram (ECG) …