LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture Detection
Scientists have explored the human body for hundreds of years, and yet more relationships between the behaviors and health are still to be discovered. With the development of data mining, artificial intelligence technology, and human posture detection, it is much more possible to figure out how beha...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
|
Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2020/8822555 |
id |
doaj-c01e175ff11f4e6991e4e253ecec19be |
---|---|
record_format |
Article |
spelling |
doaj-c01e175ff11f4e6991e4e253ecec19be2020-11-25T03:19:51ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/88225558822555LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture DetectionJinkun Han0Wei Song1Amanda Gozho2Yunsick Sung3Sumi Ji4Liangliang Song5Long Wen6Qi Zhang7School of Information Science and Technology, North China University of Technology, Beijing 100144, ChinaSchool of Information Science and Technology, North China University of Technology, Beijing 100144, ChinaSchool of Information Science and Technology, North China University of Technology, Beijing 100144, ChinaDepartment of Multimedia Engineering, Dongguk University-Seoul, Seoul 04620, Republic of KoreaDepartment of Multimedia Engineering, Dongguk University-Seoul, Seoul 04620, Republic of KoreaRoadway Smart (Beijing) Technology Co., Ltd., Beijing, ChinaBeijing Municipal Engineering Research Institute, Beijing, ChinaBeijing Capital Road Development Group Co., Ltd., Beijing, ChinaScientists have explored the human body for hundreds of years, and yet more relationships between the behaviors and health are still to be discovered. With the development of data mining, artificial intelligence technology, and human posture detection, it is much more possible to figure out how behaviors and movements influence people’s health and life and how to adjust the relationship between work and rest, which is needed urgently for modern people against this high-speed lifestyle. Using smart technology and daily behaviors to supervise or predict people’s health is a key part of a smart city. In a smart city, these applications involve large groups and high-frequency use, so the system must have low energy consumption, a portable system, and a low cost for long-term detection. To meet these requirements, this paper proposes a posture recognition method based on multisensor and using LoRa technology to build a long-term posture detection system. LoRa WAN technology has the advantages of low cost and long transmission distances. Combining the LoRa transmitting module and sensors, this paper designs wearable clothing to make people comfortable in any given posture. Aiming at LoRa’s low transmitting frequency and small size of data transmission, this paper proposes a multiprocessing method, including data denoising, data enlarging based on sliding windows, feature extraction, and feature selection using Random Forest, to make 4 values retain the most information about 125 data from 9 axes of sensors. The result shows an accuracy of 99.38% of extracted features and 95.06% of selected features with the training of 3239 groups of datasets. To verify the performance of the proposed algorithm, three testers created 500 groups of datasets and the results showed good performance. Hence, due to the energy sustainability of LoRa and the accuracy of recognition, this proposed posture recognition using multisensor and LoRa can work well when facing long-term detection and LoRa fits smart city well when facing long-distance transmission.http://dx.doi.org/10.1155/2020/8822555 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jinkun Han Wei Song Amanda Gozho Yunsick Sung Sumi Ji Liangliang Song Long Wen Qi Zhang |
spellingShingle |
Jinkun Han Wei Song Amanda Gozho Yunsick Sung Sumi Ji Liangliang Song Long Wen Qi Zhang LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture Detection Wireless Communications and Mobile Computing |
author_facet |
Jinkun Han Wei Song Amanda Gozho Yunsick Sung Sumi Ji Liangliang Song Long Wen Qi Zhang |
author_sort |
Jinkun Han |
title |
LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture Detection |
title_short |
LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture Detection |
title_full |
LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture Detection |
title_fullStr |
LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture Detection |
title_full_unstemmed |
LoRa-Based Smart IoT Application for Smart City: An Example of Human Posture Detection |
title_sort |
lora-based smart iot application for smart city: an example of human posture detection |
publisher |
Hindawi-Wiley |
series |
Wireless Communications and Mobile Computing |
issn |
1530-8669 1530-8677 |
publishDate |
2020-01-01 |
description |
Scientists have explored the human body for hundreds of years, and yet more relationships between the behaviors and health are still to be discovered. With the development of data mining, artificial intelligence technology, and human posture detection, it is much more possible to figure out how behaviors and movements influence people’s health and life and how to adjust the relationship between work and rest, which is needed urgently for modern people against this high-speed lifestyle. Using smart technology and daily behaviors to supervise or predict people’s health is a key part of a smart city. In a smart city, these applications involve large groups and high-frequency use, so the system must have low energy consumption, a portable system, and a low cost for long-term detection. To meet these requirements, this paper proposes a posture recognition method based on multisensor and using LoRa technology to build a long-term posture detection system. LoRa WAN technology has the advantages of low cost and long transmission distances. Combining the LoRa transmitting module and sensors, this paper designs wearable clothing to make people comfortable in any given posture. Aiming at LoRa’s low transmitting frequency and small size of data transmission, this paper proposes a multiprocessing method, including data denoising, data enlarging based on sliding windows, feature extraction, and feature selection using Random Forest, to make 4 values retain the most information about 125 data from 9 axes of sensors. The result shows an accuracy of 99.38% of extracted features and 95.06% of selected features with the training of 3239 groups of datasets. To verify the performance of the proposed algorithm, three testers created 500 groups of datasets and the results showed good performance. Hence, due to the energy sustainability of LoRa and the accuracy of recognition, this proposed posture recognition using multisensor and LoRa can work well when facing long-term detection and LoRa fits smart city well when facing long-distance transmission. |
url |
http://dx.doi.org/10.1155/2020/8822555 |
work_keys_str_mv |
AT jinkunhan lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection AT weisong lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection AT amandagozho lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection AT yunsicksung lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection AT sumiji lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection AT liangliangsong lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection AT longwen lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection AT qizhang lorabasedsmartiotapplicationforsmartcityanexampleofhumanposturedetection |
_version_ |
1715245317688918016 |