Developed a fatigue detector that judges the degree of fatigue through sound

In the summer of 2008, Japan introduced an innovative fatigue detection system that uses sound to assess a person’s level of tiredness. As temperatures rise, work becomes more demanding, and people are more likely to feel exhausted, increasing the risk of accidents. Fatigue in hot conditions can also contribute to serious health issues like brain and heart diseases. Therefore, early detection of fatigue is essential for taking timely preventive measures. The Japan Institute of Electronic Navigation recently developed a compact device that evaluates fatigue by analyzing vocal patterns and brain activity. This tool provides a safety solution for office workers and others who must work during the intense summer months. The device is user-friendly: it prompts users to answer questions or input data via a touch screen, speak into a microphone, and read a short text displayed on the screen. Within seconds, it delivers results showing the Brain Vitality Index (CEM), a numerical score used to measure mental energy. The CEM scale ranges from 400 to 600, with values between 500 ± 100 considered normal. If the index is within the healthy range, the device will inform the user, “You have no problem.” If it detects abnormal levels, it will alert the user with messages such as, “Please rest and recover” or “You are in extreme tension—be careful.” This system works by analyzing the subtle noises produced in the brain when processing information. These sounds are captured through voice recordings and analyzed using specialized software. Remarkably, even if a person tries to mimic fatigue, the system remains accurate. Unlike traditional methods like questionnaires, heart rate monitoring, or work performance assessments, this device offers a non-intrusive and highly accurate way to detect fatigue. Since May 2008, the device has been tested in Tokyo bus companies. It helps monitor drivers before they start their shifts, identifying signs of mental exhaustion. If the system detects declining attention or energy levels, it warns the driver, helping prevent dangerous incidents like drowsy driving. Its small size makes it suitable for taxis, trucks, and other vehicles. Future applications may include use by pilots, air traffic controllers, train operators, and medical professionals who require sharp focus and quick decision-making. Researchers believe that as production scales up, the cost of these devices could drop to match that of car navigation systems, making them accessible to many households. This innovation marks a significant step forward in workplace safety and health monitoring.

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