Automobile Driver Stress Detection By Wearable Glove System
DOI: 10.14419/ijet.v7i4.19.22039
archive: archived pipeline: cataloged verified
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Summary
This paper addresses the critical issue of driver stress, a primary contributor to road accidents and associated health risks such as high blood pressure and cardiac arrest. The authors propose a wearable glove system designed to detect automobile driver stress levels by monitoring Galvanic Skin Response (GSR). The motivation stems from the need for a simple, reliable, and cost-effective method to monitor driver physiological states in real-time, contrasting with more complex and expensive signals like ECG, EEG, or EMG. The system aims to enhance vehicle safety by identifying when a driver is in a stressed state due to factors like heavy traffic, long driving durations, or adverse weather conditions. The experimental design involved a prototype system comprising a GSR sensor embedded in a glove, a PIC16F877A 8-bit microcontroller, an LCD display, a buzzer, and a Bluetooth module. The GSR sensor measures changes in skin electrical conductance, which correlates with sweat gland activity and emotional states. The microcontroller processes these readings to determine the driver’s status, displaying "normal" or "stressed" on the LCD. If stress is detected, the system triggers a buzzer alarm and transmits the status to a mobile phone via Bluetooth. Data was collected from twenty subjects exposed to a simulated driving environment featuring various scenarios, including normal roads, highways, and heavy traffic. The results demonstrate a clear distinction between normal and stressed states based on skin conductance readings. Table 1 presents data for twenty test inputs, showing that skin conductance values in the stressed state are significantly higher than those in the normal state. For instance, while normal state conductance ranged from 35 to 220 µs, stressed state values ranged from 110 to 958 µs. Correspondingly, voltage readings were higher during stress, with values reaching up to 2.10 mV compared to a maximum of 0.41 mV in the normal state. The study confirms that the system can reliably differentiate between the two mental states, with the stressed state consistently exhibiting higher electrical conductivity due to increased perspiration. The significance of this work lies in its potential to reduce road accidents by providing real-time feedback on driver stress. The authors conclude that the wearable glove system offers a practical solution for monitoring driver safety. Future applications suggested include integrating the system with taxi services to alert call centers and replace stressed drivers with stress-free ones, thereby enhancing overall road safety. The study validates GSR as an effective, low-cost physiological marker for stress detection in automotive contexts.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-08-09 |
| archive | success | canonical_url | — | — | 1 | 2026-08-09 |
| extract | success | pdftotext | — | — | 4 | 2026-08-10 |
| clean | success | clean | — | — | 2 | 2026-08-10 |
| chunk | success | chunk | — | — | 2 | 2026-08-10 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 2 | 2026-08-10 |
| promote | success | — | — | — | 1 | 2026-08-09 |
| summarize | success | llm | qwen3.6-27b-nvidia | summ-v5 | 2 | 2026-08-10 |
| tag | success | vector_similarity | — | — | 17 | 2026-08-11 |
| verify | partial | — | — | — | 1 | 2026-08-10 |
Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified_with_issues.
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Information type
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- Empirical Findings: physiological data
- Methodological Resource: validation psychometrics