Abstract
This paper proposes and develops wireless sensor nodes to monitor working environments and human emotions estimation. The proposed system collects indoor environment data, which concern human perception, through Wireless Sensor Network. Human emotions are estimated based on the Machine Learning techniques and collected sensor data. In other words, the proposed system estimates the human emotions without image data form camera sensor or vital data from wearable sensors. Experimental results show that the proposed system achieves over 80% estimation accuracy by using multiple kinds of sensors. It is seen from the experimental results that the developed sensors are helpful to estimate human emotions.
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This work has been supported by Innovation Platform for Society 5.0 at MEXT.
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Komuro, N., Hashiguchi, T., Hirai, K., Ichikawa, M. (2021). Development of Wireless Sensor Nodes to Monitor Working Environment and Human Mental Conditions. In: Kim, H., Kim, K.J. (eds) IT Convergence and Security. Lecture Notes in Electrical Engineering, vol 712. Springer, Singapore. https://doi.org/10.1007/978-981-15-9354-3_15
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DOI: https://doi.org/10.1007/978-981-15-9354-3_15
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