Automatic Segmentation Method of Bone Conduction Sound for Eating Activity Detailed Detection

Author:

Kamachi Haruka1,Kondo Takumi2,Hossain Tahera1,Yokokubo Anna1,Lopez Guillaume1

Affiliation:

1. Aoyama Gakuin University, Japan

2. Aoyama Gakuin Univercity, Japan

Publisher

ACM

Reference26 articles.

1. 2018. Praat (Ver 6.0.37). http://www.fon.hum.uva.nl/praat/ (accessed: 2021/1/29). 2018. Praat (Ver 6.0.37). http://www.fon.hum.uva.nl/praat/ (accessed: 2021/1/29).

2. 2020. ELAN (Version 5.9). https://archive.mpi.nl/tla/elan (accessed: 2021/1/29). 2020. ELAN (Version 5.9). https://archive.mpi.nl/tla/elan (accessed: 2021/1/29).

3. Analysis of Chewing Sounds for Dietary Monitoring

4. FitByte: Automatic Diet Monitoring in Unconstrained Situations Using Multimodal Sensing on Eyeglasses

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review;Sensors;2023-09-08

2. Bone Conduction Eating Activity Detection based on YAMNet Transfer Learning and LSTM Networks;Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies;2022

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