Can bite detection algorithms substitute manual video annotations in elderly people with and without Parkinson’s disease? An experimental study-Reference-Cited by-同舟云学术

Can bite detection algorithms substitute manual video annotations in elderly people with and without Parkinson’s disease? An experimental study

Published:2024-06-26 Issue: Volume: Page:554-561
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Container-title:Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
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Author:

Ioakeimidis Ioannis¹^ORCID,Konstantinidis Dimitrios²^ORCID,Fagerberg Petter¹^ORCID,Klingelhoefer Lisa³^ORCID,Langlet Billy¹^ORCID,Rotter Eva⁴^ORCID,Spolander Sofia¹^ORCID,Dimitropoulos Kosmas²^ORCID

Affiliation:

1. Department of Biosciences and Nutrition, Karolinska Institutet, Sweden

2. Information Technologies Institute, Centre for Research and Technology Hellas, Greece

3. Department of Neurology, Technical University Dresden, Germany and Department of Neurology, Klinik am Tharandter Wald, Germany

4. Department of Neurology, Technical University Dresden, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652037.3663944

Reference22 articles.

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2. Elsy Athlin, Astrid Norberg, Karin Axelsson, Agnetha Möller, and Göran Nordströ. 1989. Aberrant eating behavior in elderly parkinsonian patients with and without dementia: Analysis of video-recorded meals. Research in nursing & health 12, 1 (1989), 41–51.

3. Michela Barichella, Emanuele Cereda, Erica Cassani, Giovanna Pinelli, Laura Iorio, Valentina Ferri, Giulia Privitera, Marianna Pasqua, Angela Valentino, Fatemeh Monajemi, 2017. Dietary habits and neurological features of Parkinson’s disease patients: implications for practice. Clinical nutrition 36, 4 (2017), 1054–1061.

4. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

5. Eating rate and bite size were related to food intake across meals varying in portion size: A randomized crossover trial in adults