A survey on measuring cognitive workload in human-computer interaction
The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …
systems competing for our attention, making cognitive workload a crucial factor for the user …
[HTML][HTML] Artificial vision algorithms for socially assistive Robot applications: A review of the literature
VM Montaño-Serrano, JM Jacinto-Villegas… - Sensors, 2021 - mdpi.com
Today, computer vision algorithms are very important for different fields and applications,
such as closed-circuit television security, health status monitoring, and recognizing a …
such as closed-circuit television security, health status monitoring, and recognizing a …
Take an emotion walk: Perceiving emotions from gaits using hierarchical attention pooling and affective mapping
We present an autoencoder-based semi-supervised approach to classify perceived human
emotions from walking styles obtained from videos or motion-captured data and represented …
emotions from walking styles obtained from videos or motion-captured data and represented …
Assessing cognitive performance using physiological and facial features: Generalizing across contexts
Sensing and machine learning advances have enabled the unobtrusive measurement of
physiological responses and facial expressions so as to estimate one's cognitive …
physiological responses and facial expressions so as to estimate one's cognitive …
Electroencephalogram-based cognitive load level classification using wavelet decomposition and support vector machine
Cognitive load level identification is an interesting challenge in the field of brain-computer-
interface. The sole objective of this work is to classify different cognitive load levels from …
interface. The sole objective of this work is to classify different cognitive load levels from …
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Physiological signals can potentially be applied as objective measures to understand the
behavior and engagement of users interacting with information access systems. However …
behavior and engagement of users interacting with information access systems. However …
Assessing fatigue with multimodal wearable sensors and machine learning
Fatigue is a loss in cognitive or physical performance due to physiological factors such as
insufficient sleep, long work hours, stress, and physical exertion. It adversely affects the …
insufficient sleep, long work hours, stress, and physical exertion. It adversely affects the …
[HTML][HTML] Cogbeacon: A multi-modal dataset and data-collection platform for modeling cognitive fatigue
M Papakostas, A Rajavenkatanarayanan, F Makedon - Technologies, 2019 - mdpi.com
In this work, we present CogBeacon, a multi-modal dataset designed to target the effects of
cognitive fatigue in human performance. The dataset consists of 76 sessions collected from …
cognitive fatigue in human performance. The dataset consists of 76 sessions collected from …
An intelligent action recognition system to assess cognitive behavior for executive function disorder
This paper proposes a novel intelligent system to monitor and assess cognitive behavior
through physical tasks which are part of assessment and training for people with Executive …
through physical tasks which are part of assessment and training for people with Executive …
A multi-modal system to assess cognition in children from their physical movements
In recent years, computer and game-based cognitive tests have become popular with the
advancement in mobile technology. However, these tests require very little body movements …
advancement in mobile technology. However, these tests require very little body movements …