Human Activity Recognition on Smartphone: A Classification Analysis
The study hinged on the human activity recognition on smartphones by using the random forests model and Ada Boost model to make the classification. The study compared the classification results of two models and found the AdaBoost model had the better classification results. The study also found the...
Saved in:
Main Authors: | Wu, Shianghau (Author), Song, Yanan (Author) |
---|---|
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2014-09-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Human Activity Recognition without Vision Tracking
by: Flores Vázquez, Carlos Alberto, et al.
Published: (2018) -
Human worker activity recognition in industrial environments
by: Hartmann, Bastian
Published: (2011) -
Design of Automatic Number Plate Recognition on Android Smartphone Platform
by: Gunawan, Teddy Surya, et al.
Published: (2017) -
Stress classification based on human electromagnetic radiation analysis
by: Tengku Zainul Akmal, Tengku 'Afiah Mardhiah, et al.
Published: (2021) -
Classification techniques' performance evaluation for facial expression recognition
by: Mahmood, Mayyadah R., et al.
Published: (2021)