Detecting Verbal and Non-Verbal Gestures Using Earables

Author:

Laporte Matias1,Baglat Preety1,Gashi Shkurta1,Gjoreski Martin1,Santini Silvia1,Langheinrich Marc1

Affiliation:

1. Faculty of Informatics, Università della Svizzera italiana (USI), Switzerland

Publisher

ACM

Cited by 10 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. EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing;2024 IEEE Coupling of Sensing & Computing in AIoT Systems (CSCAIoT);2024-05-13

2. MM-HAR: Multi-Modal Human Activity Recognition Using Consumer Smartwatch and Earbuds;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

3. Power Optimized Smartwatch-Earbuds Multimodal System for Monitoring Activities of Daily Living;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

4. Exploring Earables to Monitor Temporal Lack of Focus during Online Meetings to Identify Onset of Neurological Disorders;Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies;2023-06-21

5. enVolve: Are You Listening? Inertial Sensing to Monitor the Involvement of Silent Listeners during an Online Interaction;Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing;2022-09-11

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