… This paper analyzed a fall detection process based on the killer heuristic optimized AlexNet
convolution neural network (KHANCN). Sensor information is initially collected by placing 6 …

… efficient fall detection technique should be able to detect the falls quickly and inform the
hospitals or family members. Fall detection … The killer heuristic is used to optimize the layers. The …

… [15] proposed an efficient and optimized FD system that employ a technique based on killer
heuristics optimized AlexNet CNN. Wearable sensor methods, consisting of a gyroscope, …

… The performance of our fall detection system was evaluated using the UP Fall dataset [36].
This dataset is a collection of multimodal data. It contains data obtained from sensors as well …

… In order to realize the training and optimization of fall detection system model, this paper
only uses acceleration as sensor data input, and uses three datasets to compare and verify, …

… Alarifi and Alwadain [11] present an optimized and efficient FD model which utilizes a
technique dependent upon the killer heuristics optimizer AlexNet CNN (ACNN) model. Data are …

… In [41], the authors introduced an effective and optimized fall detection system that used an
approach based on a killer heuristics optimized AlexNet convolution neural network, in which …

… RGB-BASED FALL DETECTION After performing IMU-based fall detection, we use an RGB
image to conduct the … Alwadain, ‘‘Killer heuristic optimized convolution neural network-based …

… datasets to evaluate our fall detection model. We conduct … for fall detection systems. We
contribute to the information systems (IS) knowledge base by enabling explainable fall detection …

… performance, it is generally difficult to develop a fall detection system that simultaneously …
fall detection framework that can effectively classify the various behavior types into “Fall” and “…