Elderly activities recognition and classification for applications in assisted living
By Saisakul Chernbumroong, Shuang Cang, Anthony S. Atkins, Hongnian Yu. Expert systems with applications, 2013
328 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/c28e21e4d28d7d8a2d90fde64b5ec422cd11d873
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Neha Dawar
- Nasser Kehtarnavaz
- Roozbeh Jafari
- Jun Liu
- Hossein Rahmani
- Qiuhong Ke
- Zehua Sun
- Mengyuan Liu
Citations in the corpus
- A Convolutional Neural Network-Based Sensor Fusion System for Monitoring Transition Movements in Healthcare Applications (2018, background): “Deployment of monitoring systems in homes not only saves healthcare costs, but also provides elderly or patients with the independence of staying at home rather than staying in healthcare facilities [2].”
- Physical Human Activity Recognition Using Wearable Sensors (2015, background): “Most of the selected activities were used in recent studies related to the recognition of human activities with elderly subjects [8,9].”