Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning-Reference-Cited by-同舟云学术

Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning

Published:2022 Issue: Volume:10 Page:53153-53163
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hussain Ali¹^ORCID,Ali Sikandar¹^ORCID,Abdullah ¹^ORCID,Kim Hee-Cheol²

Affiliation:

1. Institute of Digital Anti-Aging Healthcare, Inje University, Gimhae, South Korea

2. College of AI Convergence, Institute of Digital Anti-Aging Healthcare, u-AHRC, Inje University, Gimhae, South Korea

Funder

Commercialization’s Promotion Agency for Research and Development Outcomes (COMPA) funded by the Korean Government (Ministry of Science and ICT) under Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09774398.pdf?arnumber=9774398

Reference53 articles.

1. The Design of an Automated System for the Analysis of the Activity and Emotional Patterns of Dogs with Wearable Sensors Using Machine Learning

2. Dog's life

3. A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone

4. Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life

5. An Inertial-Measurement-Unit-Based Pen With a Trajectory Reconstruction Algorithm and Its Applications

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