Research with wearable sensor
收藏DataCite Commons2025-03-23 更新2025-04-16 收录
下载链接：
https://www.openicpsr.org/openicpsr/project/178601/view
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资源简介：
This
study measured
physical activity during remote work and explored the movements
associated with performance. During remote working, we almost sit in front of a
computer. Because the movements are slight, a new neural net should be created
to distinguish subtle chest movements. Study 1 classified chest movements into
six categories: walking, rising and sitting, standing still, rotating, swaying,
and rocking. (n = 8, ages 19–62, 6 males, 2 females) The LSTM model showed a
better correct response rate (M = 83.8%) than the CNN model. Study 2 showed
that chest swing
affects reaction
time and that reaction time affects work accuracy.
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提供机构：
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间：
2025-03-23
