… of elders is ‘fall’. In this paper, a fall detection system is proposed based on machine learning…
The system detects falls by classifying different activities into fall and non-fall actions and …

… -Fall system, an IoT system for fall detection of elderly people in indoor environments, based
on a Big Data model that uses machine learning … machine learning algorithms to detect falls …

… collection of data that will be used in further stages. In this research, a publicly available
dataset is used for fall detection known as UR fall detection dataset. This dataset is developed …

… [31] presents a review on fall detection using deep learning … deep learning techniques for
fall detection only. This paper aims to provide an overview of studies using ML for fall detection …

… as fall or fall as daily life activity. To this aim, an efficient machine learning-based fall detection
… The proposed algorithm detects fall with efficient sensitivity, specificity, and accuracy as …

… fall activities. Previous work [15] has been done in fall detection system, in this paper new
machine learning … The aim of this paper is to implement different machine learning methods, …

… fall detection framework for patient with NDD has been designed. The activity data from
patient with NDD is collected using IoT sensor … and thereby differentiate fall and normal routine …

… to create a new machine learning model each time a fall is detected. The results of experiments
have shown high success rates in fall detection in terms of accuracy, precision and gain. …

… system where machine learning classification methods are … fall detection system. This
section also summarizes and compares fall detection algorithms designed using deep learning in …

… of fall detection algorithms tailored to older adults. In this study we aim to develop a number
of machine learning … real-world falls and simulated falls from normal activities of daily living. …