---
id: 20260313-T0-30
title: "门控适应持续学习方法提升人体活动识别"
title_en: "Gated Adaptation for Continual Learning in Human Activity Recognition"
url: https://ai.daily.yangsir.net/daily/20260313-T0-30
issue_date: 2026-03-13
publish_date: 2026-03-12T04:00:00.000Z
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2603.10046
---

# 门控适应持续学习方法提升人体活动识别

研究人员提出门控适应持续学习方法，解决可穿戴设备中人体活动识别的灾难性遗忘问题。该方法在老年护理场景测试，新活动学习准确率保持92%，旧任务性能仅下降5%。

## English Version

**Gated Adaptation for Continual Learning in Human Activity Recognition**

Researchers proposed gated adaptation for continual learning in human activity recognition, solving catastrophic forgetting in wearable devices. Tested in elderly care scenarios, the method maintains 92% accuracy on new activities while only 5% performance drop on old tasks.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2603.10046)

**详情页**：https://ai.daily.yangsir.net/daily/20260313-T0-30

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