Time-Series Data to Refined Insights: A Feature Engineering-Driven Approach to Gym Exercise Recognition-Reference-Cited by-同舟云学术

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Time-Series Data to Refined Insights: A Feature Engineering-Driven Approach to Gym Exercise Recognition

Published:2024 Issue: Volume:12 Page:100343-100354
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hussain Afzaal¹,Adeel Zahid Muhammad²,Ahmed Usama³^ORCID,Nazeer Shahbaz¹,Zafar Kashif⁴^ORCID,Rauf Baig Abdul⁵^ORCID

Affiliation:

1. Department of Information Technology, Government College University Faisalabad, Faisalabad, Pakistan

2. Department of Computer Science, Government College University Faisalabad, Faisalabad, Pakistan

3. Department of Software Engineering, Government College University Faisalabad, Faisalabad, Pakistan

4. Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan

5. Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10597558.pdf?arnumber=10597558

Reference35 articles.

1. Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network

2. Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review

3. Feature Selection for Activity Recognition from Smartphone Accelerometer Data

4. Learning Feature Engineering for Classification

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