悄悄移动
发表于 2025-3-28 15:07:12
Open Source Implementation for Fall Classification and Fall Detection Systemsment of fall detection and fall classification systems. These systems can help to improve the time in which a person receives help after a fall occurs. Many of the simulated falls datasets consider different types of fall however, very few fall detection systems actually identify and discriminate be
Bone-Scan
发表于 2025-3-28 22:48:59
Detecting Human Activities Based on a Multimodal Sensor Data Set Using a Bidirectional Long Short-Tedirectly, to society’s productivity. Unsurprisingly, human fall detection and prevention is a major focus of health research. In this chapter, we present and evaluate several bidirectional long short-term memory (Bi-LSTM) models using a data set provided by the Challenge UP competition. The main goa
饰带
发表于 2025-3-28 22:59:54
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Highbrow
发表于 2025-3-29 07:02:24
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羊栏
发表于 2025-3-29 09:00:35
Application of Convolutional Neural Networks for Fall Detection Using Multiple Cameras current exponential increase in the use of cameras is it common to use vision-based approach for fall detection and classification systems. On another hand deep learning algorithms have transformed the way that we see vision-based problems. The Convolutional Neural Network (CNN) as deep learning te
canvass
发表于 2025-3-29 12:33:07
Approaching Fall Classification Using the UP-Fall Detection Dataset: Analysis and Results from an Inence on Neural Networks (IJCNN 2019). This competition lies on the fall classification problem, and it aims to classify eleven human activities (i.e. five types of falls and six simple daily activities) using the joint information from different wearables, ambient sensors and video recordings, store