A Framework for the Identification of Human Vertical Displacement Activity Based on Multi-Sensor Data-Reference-Cited by-同舟云学术

A Framework for the Identification of Human Vertical Displacement Activity Based on Multi-Sensor Data

Published:2022-04-15 Issue:8 Volume:22 Page:8011-8029
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Manivannan Ajaykumar¹^ORCID,Willemse Elias J.²,B. T Balamurali³^ORCID,Chin Wei Chien Benny⁴^ORCID,Zhou Yuren⁴^ORCID,Tuncer Bige⁵^ORCID,Barrat Alain⁶^ORCID,Bouffanais Roland¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada

2. Waste Labs Pte. Ltd., Singapore

3. Engineering Systems and Design (ESD), Singapore University of Technology and Design (SUTD), Singapore

4. Engineering Product Development (EPD), Singapore University of Technology and Design (SUTD), Singapore

5. Architecture and Sustainable Design (ASD), Singapore University of Technology and Design (SUTD), Singapore

6. CNRS, CPT, Aix Marseille Univ, Université de Toulon, Marseille, France

Funder

Singapore National Research Foundation

Ministry of Education

Singapore University of Technology and Design (SUTD)-Massachusetts Institute of Technology (MIT) International Design Centre through National Science Experiment (NSE) 2016

Ministry of Education (MOE)-Singapore University of Technology and Design (SUTD) Ph.D. Fellowship

University of Ottawa Ph.D. Admission Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9757031/09729793.pdf?arnumber=9729793

Reference90 articles.

1. Elevator and Escalator Classification for Precise Indoor Localization

2. A robust floor localization method using inertial and barometer measurements

3. Classification of human physical activity and energy expenditure estimation by accelerometry and barometry

4. Low-Power Fall Detector Using Triaxial Accelerometry and Barometric Pressure Sensing

5. Indoor floor-level detection by collectively decomposing factors of atmospheric pressure

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