Attention-Aware Recognition of Activities of Daily Living Based on Eye Gaze Tracking-Reference-Cited by-同舟云学术

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Attention-Aware Recognition of Activities of Daily Living Based on Eye Gaze Tracking

Published:2022 Issue: Volume: Page:155-179
ISSN:1860-949X
Container-title:Internet of Things for Human-Centered Design
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Author:

Madhusanka B. G. D. A.,Ramadass Sureswaran,Rajagopal Premkumar,Herath H. M. K. K. M. B.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8488-3_8

Reference90 articles.

1. Ahmad, A., Mozelius, P.: Critical factors for human computer interaction of ehealth for older adults. In: Proceedings of the 2019 the 5th International Conference on e-Society, e-Learning and e-Technologies, January, pp. 58–62. (2019)

2. Thakur, N., Han, C.Y.: A review of assistive technologies for activities of daily living of elderly (2021). arXiv preprint arXiv:2106.12183

3. Kaur, P., Sharma, M., Mittal, M.: Big data and machine learning based secure healthcare framework. Procedia Comput. Sci. 132, 1049–1059 (2018)

4. Wang, Y.L., Hwang, M.Y.: Daily activities and psychological need satisfaction of elderly adults: the experience sampling method. Educ. Gerontol. 46(9), 551–562 (2020)

5. Mishra, P., Biswas, S., Dash, S.: Deep learning based biomedical named entity recognition systems. In: Deep Learning Techniques for Biomedical and Health Informatics, pp. 23–40. Springer, Cham, (2020)

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