利用附加训练传感器改进单传感器复杂活动识别

Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-09-21 DOI:10.1145/3460421.3480421

P. Lago, Moe Matsuki, Kohei Adachi, Sozo Inoue

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引用次数: 6

摘要

我们提出了一种在训练期间使用多个传感器进行单传感器活动识别的方法。该方法基于学习共享表示空间，可以利用训练时其他传感器的数据，提高单个身体加速度传感器复杂活动识别的准确性和f分。结果显示，准确率提高了16%，f分数提高了20%。

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Using additional training sensors to improve single-sensor complex activity recognition

We propose a method for single-sensor based activity recognition using multiple sensors during training time. The proposed method, based on learning a shared representation space, can be used to improve the accuracy and F-score of complex activity recognition with a single on-body accelerometer sensor by leveraging data from other sensors at training time. Results show improvements of 16% in accuracy and 20% in F-score.

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Proceedings of the 2021 ACM International Symposium on Wearable Computers

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