Name
Title | ||
|---|---|---|
Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks |
Abstract | ||
|---|---|---|
Human Activity Recognition is a field concerned with the recognition of physical human activities based on the interpretation of sensor data, including one-dimensional time series data. Traditionally, hand-crafted features are relied upon to develop the machine learning models for activity recognition. However, that is a challenging task and requires a high degree of domain expertise and feature e... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CISS50987.2021.9400290 | 2021 55th Annual Conference on Information Sciences and Systems (CISS) |
Keywords | DocType | ISBN |
Legged locomotion,Recurrent neural networks,Time series analysis,Machine learning,Activity recognition,Convolutional neural networks,Task analysis | Conference | 978-1-6654-1268-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Narjis Zehra | 1 | 0 | 0.34 |
| Syed Hamza Azeem | 2 | 0 | 0.34 |
| Muhammad Farhan | 3 | 0 | 0.34 |