Development of Novel Ensembled Boosting Model (EBM) for Fall Detection

Mountain biking is an extreme sport with unpredictable terrain and several dangerous risks associated it. Even the soundest minds might need external stimuli to alert them be more careful at a particular moment of potential fall. The proposed work involves developing algorithm capable detecting falls in mountain activity. Machine Learning classifier algorithms are used for fall detection. existing detection detect environments limited movements. Fall through use cameras causes invasion privacy done fixed predictable dangers, another type sensors attached human body which acts as obstruction activities person. Ensembled Boosting Model (EBM) overcoming these pitfalls high accurate system open environments. this paper aims real-time data such acceleration, gyroscopic values, any user. In future, can precursor implement prediction device by anyone environment.