Possibility of using entropy method to evaluate the distracting effect of mobile phones on pedestrians
NR Nurwulan, BC Jiang - Entropy, 2016 - mdpi.com
The number of mobile phone users keeps increasing every year and mobile phones have
become a primary need for most people. Ordinarily, people are not aware of the risk from a …
become a primary need for most people. Ordinarily, people are not aware of the risk from a …
Mind your step: the effects of mobile phone use on gaze behavior in stair climbing
F Ioannidou, F Hermens, TL Hodgson - Journal of technology in …, 2017 - Springer
Stair walking is a hazardous activity and a common cause of fatal and non-fatal falls.
Previous studies have assessed the role of eye movements in stair walking by asking …
Previous studies have assessed the role of eye movements in stair walking by asking …
A deep learning approach for lower back-pain risk prediction during manual lifting
Occupationally-induced back pain is a leading cause of reduced productivity in industry.
Detecting when a worker is lifting incorrectly and at increased risk of back injury presents …
Detecting when a worker is lifting incorrectly and at increased risk of back injury presents …
A mutlimodal approach to measure the distraction levels of pedestrians using mobile sensing
S Pizzamiglio, U Naeem, S Ur Réhman… - Procedia computer …, 2017 - Elsevier
The emergence of smart phones has had a positive impact on society as the range of
features and automation has allowed people to become more productive while they are on …
features and automation has allowed people to become more productive while they are on …
Stationary vs. non-stationary mobile learning in moocs
Mobile devices enable users to access information ubiquitously, including in the online
learning scenario. This though requires users to multitask and divide their attention between …
learning scenario. This though requires users to multitask and divide their attention between …
Detecting driver distraction using smartphones
V Paruchuri, A Kumar - 2015 IEEE 29th International …, 2015 - ieeexplore.ieee.org
Cell phone usage while driving is a major distraction. Due to the number of accidents that
are related to cell phone use while driving, laws have been introduced making the use of a …
are related to cell phone use while driving, laws have been introduced making the use of a …
Estimating Distracted Pedestrian from Deviated Walking Considering Consumption of Working Memory
Y Uemura, Y Kajiwara… - … on Computational Science …, 2016 - ieeexplore.ieee.org
This paper proposes a method to distinguish distracted pedestrians from normal
pedestrians, using the acceleration and the angular velocity while walking. This method …
pedestrians, using the acceleration and the angular velocity while walking. This method …
Deep Learning for Human Visual Attention Recognition Using Transfer Learning
NV Hoai, HN Mai, C Pham - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a method for recognizing human visual attention by utilizing the
image data. In our method, human visual attention is recognized in three steps: data …
image data. In our method, human visual attention is recognized in three steps: data …
Can i have a mooc2go, please? on the viability of mobile vs. stationary learning
The use of mobile technology has become an ubiquitous part of our daily lives and enables
us to perform tasks on-the-go and anytime that once were possible only on stationary …
us to perform tasks on-the-go and anytime that once were possible only on stationary …
Utilizing Convolutional Neural Networks for Specialized Activity Recognition: Classifying Lower Back Pain Risk Prediction During Manual Lifting
K Snyder - 2020 - search.proquest.com
Classification of specialized human activity datasets utilizing methods not requiring manual
feature extraction is an underserved area of research in the field of human activity …
feature extraction is an underserved area of research in the field of human activity …