A novel ensemble ELM for human activity recognition using smartphone sensors
Human activity recognition plays a unique role in many important applications, including ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive property of smartphones, smartphone sensors are widely used for the identification of human activities. Since the signals...
Saved in:
Main Authors: | Chen, Zhenghua, Jiang, Chaoyang, Xie, Lihua |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/150995 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events
by: Liu, Nan, et al.
Published: (2018) -
An ensemble approach for short-term load forecasting by extreme learning machine
by: Li, Song, et al.
Published: (2017) -
Conditional random mapping for effective ELM feature representation
by: Li, Cheng, et al.
Published: (2020) -
ELM embedded discriminative dictionary learning for image classification
by: Zeng, Yijie, et al.
Published: (2022) -
AN ENSEMBLE OF MACHINE LEARNING AND ECONOMETRICS VOLATILITY FORECASTING METHODS
by: TUAN DING WEI
Published: (2021)