Future of the Technology
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37337-4_11
Reference7 articles.
1. Agarwal A et al (2022a) Method to improve gait speed assessment for low frame rate AI enabled visual sensor. In: 2022a IEEE sensors applications symposium (SAS). IEEE, pp 1–6. https://doi.org/10.1109/SAS54819.2022.9881252
2. Agarwal A et al (2022b) Walking gait speed measurement using privacy respecting AI enabled visual sensor. In: 2022b IEEE international symposium on medical measurements and applications (MeMeA). IEEE, pp 1–6. https://doi.org/10.1109/MeMeA54994.2022.9856484
3. Forster P et al (2022) Assessing activities of daily living by measuring residential water use with low cost thermistors. In: 2022 IEEE international symposium on medical measurements and applications (MeMeA). IEEE, pp 1–6. https://doi.org/10.1109/MeMeA54994.2022.9856541
4. Joudeh IO et al (2019) WiFi channel state information-based recognition of sitting-down and standing-up activities. In: 2019 IEEE international symposium on medical measurements and applications (MeMeA). IEEE, pp 1–6. https://doi.org/10.1109/MeMeA.2019.8802151
5. Joudeh IO et al (2021) Location independence in machine learning classification of sitting-down and standing-up actions using wi-fi sensors. In: 2021 IEEE international symposium on medical measurements and applications (MeMeA). IEEE, pp 1–6. https://doi.org/10.1109/MeMeA52024.2021.9478778
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