Cigarette tip drop inclination performance detection device and method based on behavioral features of emulated drop of manually discarded cigarette ash

Abstract

The present disclosure provides a method for assessing hot coal fallout propensity of burning cigarettes based on human behavior features of ash-flicking action. The method is characterized in that the method is accomplished through an apparatus for detecting hot coal fallout propensity based on human behavior features of ash-flicking action, which include behavior features of human action of flicking cigarette ash, features of holding a cigarette, and features of force applying process and other aspects. This method can provide objective and accurate test basis for evaluation of cigarette fallout performance.

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