Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals

NJ Shoumy, LM Ang, KP Seng, DMM Rahaman… - Journal of Network and …, 2020 - Elsevier
Affective computing is an emerging multidisciplinary research field that is increasingly
drawing the attention of researchers and practitioners in various fields, including artificial …

Recognition of sedentary behavior by machine learning analysis of wearable sensors during activities of daily living for telemedical assessment of cardiovascular risk

E Kańtoch - Sensors, 2018 - mdpi.com
With the recent advancement in wearable computing, sensor technologies, and data
processing approaches, it is possible to develop smart clothing that integrates sensors into …

Attention monitoring for synchronous distance learning

AF Abate, L Cascone, M Nappi, F Narducci… - Future Generation …, 2021 - Elsevier
In traditional classroom education the teacher can easily perceive or obtain the
engagements of the students by observing them. Distance education is affected by the …

Gaze control and tactical decision-making under stress in active-duty police officers during a live use-of-force response

NP Murray, W Lewinski, G Sandri Heidner… - Journal of Motor …, 2024 - Taylor & Francis
Police officers during dynamic and stressful encounters are required to make rapid
decisions that rely on effective decision-making, experience, and intuition. Tactical decision …

The application of flexible areas of interest to pilot mobile eye tracking

Z Gomolka, D Kordos, E Zeslawska - Sensors, 2020 - mdpi.com
Recent progress in the development of mobile Eye Tracking (ET) systems shows that there
is a demand for modern flexible solutions that would allow for dynamic tracking of objects in …

[HTML][HTML] The mental workload of harvester operators working in steep terrain conditions

G Szewczyk, R Spinelli, N Magagnotti, P Tylek… - Silva Fennica, 2020 - silvafennica.fi
The use of modern multi-functional forestry machines has already been associated with
central nervous system fatigue induced by high mental workload. As these machines are …

Classification algorithm for person identification and gesture recognition based on hand gestures with small training sets

K Rzecki - Sensors, 2020 - mdpi.com
Classification algorithms require training data initially labelled by classes to build a model
and then to be able to classify the new data. The amount and diversity of training data affect …

Perception of the harvester operator's working environment in windthrow stands

G Szewczyk, R Spinelli, N Magagnotti, B Mitka, P Tylek… - Forests, 2021 - mdpi.com
The aim of the study was to determine the mental workload of a harvester operator when
working in late thinning and in windthrown stands of the same type and age, using eye …

Eye-tracking as a component of multimodal emotion recognition systems

W Celniak, P Augustyniak - International Conference on Information …, 2022 - Springer
Emotions play an important role in everyday human interaction. The accurate detection of
these non-verbal signals by intelligent systems would allow for a more intuitive way of …

GazeVisual: A practical software tool and web application for performance evaluation of eye tracking systems

A Kar, P Corcoran - IEEE Transactions on Consumer …, 2019 - ieeexplore.ieee.org
The concept and functionalities of a software tool developed for in depth performance
evaluation of eye gaze estimation systems is presented. The software, GazeVisual has …