Abstract
Soldering is prone to human error due to lack of concentration and corner-cutting caused by simple tasks. Therefore, it is expected that accidents can be reduced by having instructors give indication during dangerous actions or inappropriate postures during soldering iron work. In this paper, in order to solve these problems, we propose an indicate system for danger detection and carry out soldering motion analysis. Also, we show the experimental results for dangerous detection during soldering iron. The experimental results show that the proposed system has a good accuracy for detecting dangerous situations.
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This work was supported by JSPS KAKENHI Grant Number JP20K19793.
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Yasunaga, T. et al. (2022). An Indicate System for Danger Detection and Its Soldering Motion Analysis. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_4
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DOI: https://doi.org/10.1007/978-3-031-08819-3_4
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