Identifying Everyday Objects with a Smartphone Knock
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology, Daejeon, Rebublic of Korea
2. Inha University, Incheon, Rebublic of Korea
Funder
National Research Foundation of Korea (NRF)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3170427.3188514
Reference9 articles.
1. Snap-To-It
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3. The WEKA data mining software
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5. People with Visual Impairment Training Personal Object Recognizers
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1. Acoustic-based Recognition of Multiple Objects with Overlapped Impact Sounds;2024 2nd International Conference on Communications, Computing and Artificial Intelligence;2024-06-21
2. Google Home, Listen: Building Helper Intelligences for Non-Verbal Sound;Creativity and Cognition;2022-06-20
3. Knocker;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2019-09-09
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