Abstract
This study solves the problem of food assessment for the elder in a health village, via Nvidia Jetson devices and increasingly comprehensive transfer learning techniques. For the increasing of dish dataset, incremental learning is used. The main contributions include: first, building a food recognition system through transfer learning, incremental learning and edge computing; second, the ResNet-18 based model in the system has mAP 100% accuracy.
| Original language | English |
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| Title of host publication | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 237-238 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665470506 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan Duration: 06 07 2022 → 08 07 2022 |
Publication series
| Name | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
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Conference
| Conference | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
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| Country/Territory | Taiwan |
| City | Taipei |
| Period | 06/07/22 → 08/07/22 |
Bibliographical note
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