Dimitrios Iakovakis

Orcid: 0000-0002-6854-5942

According to our database1, Dimitrios Iakovakis authored at least 18 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Parkinson's Disease Detection Based on Running Speech Data From Phone Calls.
IEEE Trans. Biomed. Eng., 2022

2021
DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson's Disease Patients via Deep Learning.
Frontiers Robotics AI, 2021

2020
Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing Processing.
Frontiers Digit. Health, 2020

Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm.
Frontiers Comput. Sci., 2020

HoloPrognosis - An AR-Based Serious Exercise Game for Early Stage Parkinson's Disease Patients.
Proceedings of the Universal Access in Human-Computer Interaction. Design Approaches and Supporting Technologies, 2020

Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Practice, 2020

Smartwatch-based Activity Analysis During Sleep for Early Parkinson's Disease Detection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

CovidSense: A Smartphone-based Initiative for Fighting COVID-19 Spreading.
Proceedings of the DSAI 2020: 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2020

Smartphone-based Biofeedback Games for Shielding of Immune System against COVID-19: The CovidShield Game Suite design approach.
Proceedings of the DSAI 2020: 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2020

Cross-Course and Multi-course Sentiment Classification of Student Posts.
Proceedings of the Brain Function Assessment in Learning - Second International Conference, 2020

2019
Keystroke timing and pressure data captured during touchscreen typing by early Parkinson's disease patients and healthy controls.
Dataset, February, 2019

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild.
Frontiers ICT, 2018

On Exploring Design Elements in Assistive Serious Games for Parkinson's Disease Patients: The i-PROGNOSIS Exergames Paradigm.
Proceedings of the 2nd International Conference on Technology and Innovation in Sports, 2018

Sentiment Analysis Techniques and Applications in Education: A Survey.
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018

Using Art and Technology to support Geometry Learning for All: A Conceptual Instructional Design.
Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018

2017
On Capturing Older Adults' Smartphone Keyboard Interaction as a Means for Behavioral Change Under Emotional Stimuli Within i-PROGNOSIS Framework.
Proceedings of the Universal Access in Human-Computer Interaction. Design and Development Approaches and Methods, 2017

2016
Standing hypotension prediction based on smartwatch heart rate variability data: a novel approach.
Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2016


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