Author
Listed:
- Joseph Jr. T. Miomio
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
- Jude Anthony A. Perez
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
- Dariel B. Madis
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
- Yunishalyn Mae S. Udtohan
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
- James Lee F. Lumakang
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
- Mark Anthony Ocampo
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
- Michael James Mataksi
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, PhilippinesTagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
- Andre Lue Mindaña
(Tagum National Trade School, Apokon, Tagum City, Davao del Norte, Philippines)
Abstract
Electrical injuries remain a significant occupational hazard, particularly among construction workers, electricians, and technical-vocational trainees in the Philippines. Despite existing safety protocols, many workplaces lack affordable and real-time electrical hazard detection systems. This study aimed to design, develop, and evaluate a wearable current sensing technology capable of detecting electrical current exposure and providing immediate alerts to prevent electrical injuries. The results show that the mean values of the indicators range from 4.05 to 4.38, which are numerically interpreted as "High" to "Very High." These results indicate that the respondents positively evaluated the wearable device in terms of its ability to detect electrical current exposure in real time. The overall mean of the table falls within the "High" interpretation, suggesting that the respondents generally perceive the wearable current sensing technology as accurate, reliable, and effective for electrical injury prevention. In addition, the standard deviation values range from 0.81 to 1.08, which are considered low, indicating that the responses are closely clustered around the mean.
Suggested Citation
Joseph Jr. T. Miomio & Jude Anthony A. Perez & Dariel B. Madis & Yunishalyn Mae S. Udtohan & James Lee F. Lumakang & Mark Anthony Ocampo & Michael James Mataksi & Andre Lue Mindaña, 2026.
"Wearable Current Sensing Technology for Electrical Injuries Prevention: Development and Application,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(3), pages 2184-2201, March.
Handle:
RePEc:bcp:journl:v:10:y:2026:i:3:p:2184-2201
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