Healthcare in the smart home: A study of past, present and future

J Bennett, O Rokas, L Chen - Sustainability, 2017 - mdpi.com
Ubiquitous or Pervasive Computing is an increasingly used term throughout the technology
industry and is beginning to enter the consumer electronics space in its most recent form …

Detection and prediction of driver drowsiness using artificial neural network models

CJ de Naurois, C Bourdin, A Stratulat, E Diaz… - Accident Analysis & …, 2019 - Elsevier
Not just detecting but also predicting impairment of a car driver's operational state is a
challenge. This study aims to determine whether the standard sources of information used to …

Objective measures, sensors and computational techniques for stress recognition and classification: A survey

N Sharma, T Gedeon - Computer methods and programs in biomedicine, 2012 - Elsevier
Stress is a major growing concern in our day and age adversely impacting both individuals
and society. Stress research has a wide range of benefits from improving personal …

EEG-based multimodal emotion recognition: a machine learning perspective

H Liu, T Lou, Y Zhang, Y Wu, Y Xiao… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Emotion, a fundamental trait of human beings, plays a pivotal role in shaping aspects of our
lives, including our cognitive and perceptual abilities. Hence, emotion recognition also is …

Physiolytics at the workplace: Affordances and constraints of wearables use from an employee's perspective

T Mettler, J Wulf - Information Systems Journal, 2019 - Wiley Online Library
Wearables paired with data analytics and machine learning algorithms that measure
physiological (and other) parameters are slowly finding their way into our workplace …

Driver alertness monitoring using fusion of facial features and bio-signals

BG Lee, WY Chung - IEEE Sensors journal, 2012 - ieeexplore.ieee.org
Driver drowsiness is among the leading causal factors in traffic accidents occurring
worldwide. This paper describes a method to monitor driver safety by analyzing information …

Artificial intelligence techniques for driving safety and vehicle crash prediction

Z Halim, R Kalsoom, S Bashir, G Abbas - Artificial Intelligence Review, 2016 - Springer
Accident prediction is one of the most critical aspects of road safety, whereby an accident
can be predicted before it actually occurs and precautionary measures taken to avoid it. For …

Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving

A Giorgi, V Ronca, A Vozzi, P Aricò… - Frontiers in …, 2023 - frontiersin.org
The human factor plays a key role in the automotive field since most accidents are due to
drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal …

Mobile-based wearable-type of driver fatigue detection by GSR and EMG

L Boon-Leng, L Dae-Seok… - TENCON 2015-2015 …, 2015 - ieeexplore.ieee.org
Driver fatigue had been a major reason that leads to road accidents. This paper focuses on
investigating the usage of electromyography and galvanic skin response to detect the driver …

Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor

J He, W Choi, Y Yang, J Lu, X Wu, K Peng - Applied ergonomics, 2017 - Elsevier
Background Drowsiness is one of the major factors that cause crashes in the transportation
industry. Drowsiness detection systems can alert drowsy operators and potentially reduce …