Identification of Human Survivors in Natural Disasters Through Body Odor Analysis

Abstract

Our research addresses the critical challenge of identifying and locating survivors during natural disasters, focusing on the innovative application of body odor analysis. Natural disasters, like earthquakes, demand rapid rescue efforts. Traditionally, canine teams have played a pivotal role, but our study proposes a novel approach using volatile organic compounds (VOCs) found in body odor as biometric markers. We created a comprehensive simulation model based on existing scientific literature, utilizing advanced data resampling techniques and Principal Component Analysis (PCA) alongside clustering methods. Our findings demonstrate convincingly that VOC analysis effectively distinguishes and pinpoints individuals in disaster scenarios. This research opens a new avenue for practical implementation. In summary, our study highlights the promise of VOC-based body odor analysis as a groundbreaking solution for identifying and locating human survivors during natural disasters. This innovation holds significant potential for enhancing disaster response strategies and ultimately saving lives.