Human Action Recognition based on LSTM Model using Smartphone Sensor

被引：0

作者：

Han, Yull Kyu ^{[1
]}

Choi, Young Bok ^{[1
]}

机构：

[1] Tongmyong Univ, Dept Eelect Engn, Busan, South Korea

来源：

2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019) | 2019年

基金：

新加坡国家研究基金会;

关键词：

human action recognition; disasters detection; deep learning; LSTM;

D O I：

10.1109/icufn.2019.8806065

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a deep learning model for human action recognition in order to quickly detect occurrence of disasters such as fire and terrorism. Using the acceleration and gyroscope sensors built in the smartphone, four kinds of data on human behavior were obtained and human behavior was classified through the LSTM deep learning model. As an experiment, it was confirmed that the LSTM model can be classified 95.47% accurately.

引用

页码：748 / 750

页数：3

共 50 条

[1] Detection of emergency disaster using human action recognition based on lstm model
Han Y.K.
Choi Y.B.
IEIE Transactions on Smart Processing and Computing, 2020, 9 (03): : 177 - 184
[2] LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
Mekruksavanich, Sakorn
Jitpattanakul, Anuchit
SENSORS, 2021, 21 (05) : 1 - 25
[3] Human Action Recognition Using Smartphone Sensors
Saha, Ashim
Sharma, Tulika
Batra, Harshika
Jain, Anupreksha
Pal, Vabna
2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2020), 2020, : 238 - 243
[4] Human Activity Recognition Using Smartphone Sensor Based on Selective Classifiers
Khatun, Mst Alema
Abu Yousuf, Mohammad
2020 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR INDUSTRY 4.0 (STI), 2020,
[5] Human Action Recognition Algorithm Based on Bi-LSTM-Attention Model
Zhu Mingkang
Lu Xianling
LASER & OPTOELECTRONICS PROGRESS, 2019, 56 (15)
[6] A Sensor Based on Recognition Activities using Smartphone
Beily, Marthen Dangu Elu
Badjowawo, Maria D.
Bekak, Daud Obed
Dana, Sumartini
2016 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA): RECENT TRENDS IN INTELLIGENT COMPUTATIONAL TECHNOLOGIES FOR SUSTAINABLE ENERGY, 2016, : 393 - 397
[7] STACKED LSTM NETWORK FOR HUMAN ACTIVITY RECOGNITION USING SMARTPHONE DATA
Ullah, Mohib
Ullah, Habib
Khan, Sultan Daud
Cheikh, Faouzi Alaya
2019 8TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP 2019), 2019, : 175 - 180
[8] Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model
Ahmed, Nadeem
Rafiq, Jahir Ibna
Islam, Md Rashedul
SENSORS, 2020, 20 (01)
[9] SC-LSTM based Human Action Recognition
Kang, Naixin
Yi, Pengfei
Geng, Qingshu
Dong, Jing
Liu, Rui
Wang, Ling
2024 9TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, ICSIP, 2024, : 559 - 563
[10] Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor
Sinha, Vikas Kumar
Patro, Kiran Kumar
Plawiak, Pawel
Prakash, Allam Jaya
SENSORS, 2021, 21 (19)

← 1 2 3 4 5 →