Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
Computer vision algorithms have been utilized for 3-D road imaging and pothole detection
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
Sensors, vision and networks: From video surveillance to activity recognition and health monitoring
This paper presents an overview of the state of the art of three different fields with the shared
characteristics of making use of a network of sensors, with the possible application of …
characteristics of making use of a network of sensors, with the possible application of …
Toward mental effort measurement using electrodermal activity features
The ability to monitor mental effort during a task using a wearable sensor may improve
productivity for both work and study. The use of the electrodermal activity (EDA) signal for …
productivity for both work and study. The use of the electrodermal activity (EDA) signal for …
Unobtrusive Sensors for the Assessment of Older Adult's Frailty: A Scoping Review
Ubiquity (devices becoming part of the context) and transparency (devices not interfering
with daily activities) are very significant in healthcare monitoring applications for elders. The …
with daily activities) are very significant in healthcare monitoring applications for elders. The …
A preliminary study of the efficacy of using a wrist-worn multiparameter sensor for the prediction of cognitive flow states in university-level students
Engagement is enhanced by the ability to access the state of flow during a task, which is
described as a full immersion experience. We report two studies on the efficacy of using …
described as a full immersion experience. We report two studies on the efficacy of using …
[HTML][HTML] Toward enhanced free-living fall risk assessment: data mining and deep learning for environment and terrain classification
Fall risk assessment can be informed by understanding mobility/gait. Contemporary mobility
analysis is being progressed by wearable inertial measurement units (IMU). Typically, IMUs …
analysis is being progressed by wearable inertial measurement units (IMU). Typically, IMUs …
Health and wellness monitoring using ambient sensor networks
Y Wang, A Yalcin… - Journal of Ambient …, 2020 - content.iospress.com
Smart homes equipped with ambient wireless sensor networks provide new opportunities to
help older adults age-in-place, improve their quality of life and help better manage their …
help older adults age-in-place, improve their quality of life and help better manage their …
Urban digital twins for intelligent road inspection
Urban digital twin (UDT) technologies offer new opportunities for intelligent road inspection
(IRI). This paper first reviews the state-of-the-art algorithms used in the two key components …
(IRI). This paper first reviews the state-of-the-art algorithms used in the two key components …
Enabling scalable analytics of physiological sensor and derived feature multi-modal time-series with big data management
With the increasing interconnection of smart sensors in long-term care facilities, the amount
of data available for multi-modal Big Data analytics is advantageous. Using raw smart …
of data available for multi-modal Big Data analytics is advantageous. Using raw smart …
Human-centered approaches that integrate sensor technology across the lifespan: Opportunities and challenges
Children, parents, older adults, and caregivers routinely use sensor technology as a source
of health information and health monitoring. The purpose of this paper is to describe three …
of health information and health monitoring. The purpose of this paper is to describe three …