A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound—Proof of Concept on Human Mimicking Doll Falls
By Yaniv Zigel, Dima Litvak, Israel Gannot. IEEE Transactions on Biomedical Engineering, 2009
367 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/232f3dcabbc6a7d8e1c8400b05e84f14f99cba04
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Liang Wang
- Ling Shao
- Jonathon A. Chambers
- Justin Salamon
- Romain Serizel
- Ankit Shah
- Nicolas Turpault
- Wanqing Li
In Biomedical Engineering
- Liang Wang
- Ling Shao
- Nicholas Luke Seed
- Muhammad Mubashir
- Wanqing Li
- Pichao Wang
- Jun Liu
- Mengyuan Liu
In Computer Vision and Pattern Recognition
- Romain Serizel
- Nicolas Turpault
- Liang Wang
- Ling Shao
- Dominic K. C. Ho
- Syed Mohsen Naqvi
- Nicholas Luke Seed
- Mihail Popescu
Citations in the corpus
- Deep learning for posture analysis in fall detection (2014, background): “In this case, it is really very important to design a system that can be used to generate an alarm when it detects the falling of human beings so that they can gain help from others without too many false alarms.”
- Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis (2019, background): “Sound event detection has potential applications in noise monitoring in smart cities [1, 2], surveillance [3], urban planning [1], multimedia information retrieval [4, 5]; and domestic applications such as smart homes, health monitoring systems and home security solutions [6, 7, 8] to name a few.”
- Sound Event Detection in Synthetic Domestic Environments (2020, neutral): “This area of research has been attracting a continuously growing attention during the past years as it can have a great impact in many applications in noise monitoring in smart cities [2, 3], surveillance [4], urban planning [2], multimedia information retrieval [5, 6]; and domestic applications suc”
- A Microphone Array System for Automatic Fall Detection (2012, background): “Several previous works [10], [11], [16], [17] have described acoustic-FADEs based on a linear array of microphones.”
- A survey on fall detection: Principles and approaches (2013, background): “The concept of floor vibrations with sound sensing is unique in its own way in [30].”
- A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment (2012, background): “in [6] proposed a fall detection system based on floor vibration and sound sensing.”