Using Convolutional Neural Networks with Multiple Thermal Sensors for Unobtrusive Pose Recognition
The desire to remain living in one’s own home rather than a care home by those in need of 24/7 care is one that requires a level of understanding for the actions of an environment’s inhabitants. This can potentially be accomplished with the ability to recognise Activities of Daily Living (ADLs); how...
Main Authors: | Matthew Burns, Federico Cruciani, Philip Morrow, Chris Nugent, Sally McClean |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/23/6932 |
Similar Items
-
Fusing Thermopile Infrared Sensor Data for Single Component Activity Recognition within a Smart Environment
by: Matthew Burns, et al.
Published: (2019-01-01) -
Pose Recognition of 3D Human Shapes via Multi-View CNN with Ordered View Feature Fusion
by: Hui Wang, et al.
Published: (2020-08-01) -
Convolution-Based Design for Real-Time Pose Recognition and Character Animation Generation
by: Lee, J., et al.
Published: (2022) -
Flower and leaf recognition for plant identification using convolutional neural network
by: FatihahSahidan, N., et al.
Published: (2019) -
Activity Recognition with Combination of Deeply Learned Visual Attention and Pose Estimation
by: Jisu Kim, et al.
Published: (2021-05-01)