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Cited by in F6Publishing
For: Nakamura A, Saito T, Ikeda D, Ohta K, Mineno H, Nishimura M. Automatic Detection of Chewing and Swallowing. Sensors (Basel) 2021;21:3378. [PMID: 34066269 DOI: 10.3390/s21103378] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Yoshimoto T, Taniguchi K, Kurose S, Kimura Y. Validation of Earphone-Type Sensors for Non-Invasive and Objective Swallowing Function Assessment. Sensors 2022;22:5176. [DOI: 10.3390/s22145176] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Wei Y, Minhad KN, Selamat NA, Md Ali SH, Sobhan Bhuiyan MA, Ooi KJA, Samdin SB. A review of chewing detection for automated dietary monitoring. Journal of the Chinese Institute of Engineers. [DOI: 10.1080/02533839.2022.2053791] [Reference Citation Analysis]
3 Nakamura A, Saito T, Ikeda D, Ohta K, Mineno H, Nishimura M. Automatic Detection of Crushing Completion Timing of Food. 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech) 2022. [DOI: 10.1109/lifetech53646.2022.9754887] [Reference Citation Analysis]
4 Nakamura A, Saito T, Ikeda D, Ohta K, Mineno H, Nishimura M. Automatic Detection of Chewing and Swallowing Using Attention-Based Fusion. 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) 2021. [DOI: 10.1109/gcce53005.2021.9621911] [Reference Citation Analysis]