A Framework for Daily Living Activity Recognition using Fusion of Smartphone Inertial Sensors Data
Author:
Affiliation:
1. University of Engineering and Technology,Taxila,Pakistan
2. Fatima Jinnah Women University,Rawalpindi
3. Air University,Islamabad
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099038/10099054/10099271.pdf?arnumber=10099271
Reference34 articles.
1. Human Activity Recognition Using Ambient Sensor Data
2. Daily Human Activity Recognition Using Non-Intrusive Sensors
3. A Public Domain Dataset for Human Activity Recognition in Free-Living Conditions
4. Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method
5. Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
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1. Classification of Human Physical Activities and Postures During Everyday Life;2023 18th International Conference on Emerging Technologies (ICET);2023-11-06
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