This paper proposes a new detection method for falling. This method processes every frame captured by monitoring, which is to use the OpenPose skeleton ...

May 16, 2024 · This report introduces a novel real-time fall detection method that integrates learnable edges into Spatial Temporal Graph Convolutional Net-.

Sep 1, 2024 · This paper introduces a real-time and continuous fall detection from video sequence. To this end, person detection and tracking are performed to determine the ...

This paper presents an improved skeleton extraction from depth video for fall detection based on fast randomized decision forest (RDF) algorithm.

Aug 21, 2023 · To overcome these challenges, many researchers propose extracting skeleton data from RGB videos and using it for fall detection. Although there ...

This paper proposes an approach for reorganization of accidental falls based on the symmetry principle that has 97% success rate to recognize the fall down ...

This paper studies a prediction model of the elderly fall based on the key points of human bones. It can be predicted when the old man falls.

This paper proposes a new fall detection method using two public fall detection data sets, AI HUB and. URFD, and a GRU neural network technique for fall ...

In this paper, we introduce a fall-detection method based on skeleton data obtained from a 2D RGB CCTV Camera installed on the manufacturing floor.

This dataset aims to enhance the performance of the person detection model by providing relevant falling motion examples, which enables the model to better han-.