Movement Tube Detection Network Integrating 3D CNN and Object Detection Framework to Detect Fall
Unlike most of the existing neural network-based fall detection methods, which only detect fall at the time range, the algorithm proposed in this paper detect fall in both spatial and temporal dimension. A movement tube detection network integrating 3D CNN and object detection framework such as SSD...
Main Authors: | Song Zou, Weidong Min, Lingfeng Liu, Qi Wang, Xiang Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/8/898 |
Similar Items
-
Comprehensive Review of Vision-Based Fall Detection Systems
by: Jesús Gutiérrez, et al.
Published: (2021-02-01) -
Transfer Learning on Small Datasets for Improved Fall Detection
by: Nader Maray, et al.
Published: (2023-01-01) -
Evaluation of Inertial Sensor-Based Pre-Impact Fall Detection Algorithms Using Public Dataset
by: Soonjae Ahn, et al.
Published: (2019-02-01) -
Elderly Fall Detection and Fall Direction Detection via Various Machine Learning Algorithms Using Wearable Sensors
by: Yılmaz Güven, et al.
Published: (2021-09-01) -
UP-Fall Detection Dataset: A Multimodal Approach
by: Lourdes Martínez-Villaseñor, et al.
Published: (2019-04-01)