Direct-to-Worker Industrial IoT Alerting: A TinyML and BLE Wearable Prototype with Local Event Logging

This record archives a preprint-style technical manuscript describing a laboratory-scale proof-of-concept system for direct-to-worker industrial IoT alerting. The prototype combines TinyML-based vibration-state classification, Bluetooth Low Energy state transmission, an ESP32-C3 wearable alert receiver, multimodal LED/vibration/buzzer feedback, local LittleFS event logging, and a CAD/3D-printed vibration testbed for repeatable data collection. The manuscript documents the problem framing, system architecture, dataset preparation, model evaluation, prototype implementation, limitations, author contributions, and solution-engineering relevance for industrial safety use cases.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-24
DOI
https://doi.org/10.5281/zenodo.20822482
Primary Topic
Context-Aware Activity Recognition Systems
Type
preprint
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preprint

Direct-to-Worker Industrial IoT Alerting: A TinyML and BLE Wearable Prototype with Local Event Logging

Seojeong Min, Minseo Choo
Zenodo (CERN European Organization for Nuclear Research)
Context-Aware Activity Recognition Systems
preprint

Direct-to-Worker Industrial IoT Alerting: A TinyML and BLE Wearable Prototype with Local Event Logging

Seojeong Min, Minseo Choo
preprint en

Abstract

This record archives a preprint-style technical manuscript describing a laboratory-scale proof-of-concept system for direct-to-worker industrial IoT alerting. The prototype combines TinyML-based vibration-state classification, Bluetooth Low Energy state transmission, an ESP32-C3 wearable alert receiver, multimodal LED/vibration/buzzer feedback, local LittleFS event logging, and a CAD/3D-printed vibration testbed for repeatable data collection. The manuscript documents the problem framing, system architecture, dataset preparation, model evaluation, prototype implementation, limitations, author contributions, and solution-engineering relevance for industrial safety use cases.

Zenodo (CERN European Organization for Nuclear Research)
Context-Aware Activity Recognition Systems
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