Improving the Performance and Explainability of Indoor Human Activity Recognition in the Internet of Things Environment

Improving the Performance and Explainability of Indoor Human Activity Recognition in the Internet of Things Environment

Traditional indoor human activity recognition (HAR) has been defined as a time-series data classification problem and requires feature extraction. The current indoor HAR systems still lack transparent, interpretable, and explainable approaches that can generate human-understandable information. This...

Full description

Bibliographic Details
Main Authors: Ayse Betul Cengiz, Kokten Ulas Birant, Mehmet Cengiz, Derya Birant, Kemal Baysari
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Symmetry
Subjects:
machine learning
image classification
human activity recognition
convolutional neural networks
Internet of Things
Online Access:https://www.mdpi.com/2073-8994/14/10/2022

Internet

https://www.mdpi.com/2073-8994/14/10/2022

Similar Items