Breath Activity Detection Algorithm
This addresses firefighter safety by providing real-time monitoring to prevent exhaustion, but it is incremental as it applies a modified existing method to a specific domain.
The paper tackled the problem of detecting breathing activity in firefighters using a support vector machine with a novel kernel to estimate breathing rate and inhalation duration, enabling incident commanders to monitor for exhaustion and improve safety.
This report describes the use of a support vector machines with a novel kernel, to determine the breathing rate and inhalation duration of a fire fighter wearing a Self-Contained Breathing Apparatus. With this information, an incident commander can monitor the firemen in his command for exhaustion and ensure timely rotation of personnel to ensure overall fire fighter safety