Ensem-DeepHAR: Identification of human activity in smart environments using ensemble of deep learning methods and motion sensor data

被引：0
|
作者：
Islam, S.M. Mohidul [1 ]
Talukder, Kamrul Hasan [1 ]
机构：
[1] Computer Science and Engineering Discipline, Khulna University, Khulna,9208, Bangladesh
来源：
Measurement: Sensors | 2024年 / 36卷
关键词：
Activity recognition - Ensem-DeepHAR - Human activities - Human activity recognition - Motion sensor data - Motion sensors - Person-independent - Preprocessing chain for human activity recognition - Sensors data - Stackings;
D O I：
10.1016/j.measen.2024.101398
中图分类号：
学科分类号：
摘要：
50
引用
收藏
相关论文
共 50 条
  • [41] HaaS(Human Activity Analytics as a Service) Using Sensor Data of Smart Devices
    Kwon, Eunjung
    Park, Hyunho
    Byon, Sungwon
    Jung, Eui-Suk
    Lee, Yong-Tae
    2018 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC), 2018, : 1500 - 1502
  • [42] Human Activity Recognition for Multi-label Classification in Smart Homes Using Ensemble Methods
    Kasubi, John W.
    Huchaiah, Manjaiah D.
    ARTIFICIAL INTELLIGENCE AND SUSTAINABLE COMPUTING FOR SMART CITY, AIS2C2 2021, 2021, 1434 : 282 - 294
  • [43] Deep Learning for Facial Expression and Human Activity Recognition Using Smart Glasses
    Marinova, Matea
    Chona, Emilija
    Kotevski, Andrej
    Sazdov, Borjan
    Kiprijanovska, Ivana
    Stankoski, Simon
    Gjoreski, Martin
    Nduka, Charles
    Gjoreski, Hristijan
    IEEE ACCESS, 2025, 13 : 48257 - 48270
  • [44] Transition-aware human activity recognition using an ensemble deep learning framework
    Khan, Saad Irfan
    Dawood, Hussain
    Khan, M. A.
    Issa, Ghassan F.
    Hussain, Amir
    Alnfiai, Mrim M.
    Adnan, Khan Muhammad
    COMPUTERS IN HUMAN BEHAVIOR, 2025, 162
  • [45] Deep Convolutional Neural Network Learning for Activity Recognition using real-life sensor's data in smart devices
    Fekri, Maryam
    Shafiq, M. Omair
    2018 IEEE 20TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM), 2018,
  • [46] Broad learning system for human activity recognition using sensor data
    Yang, Ai-Qiang
    Yu, Xing-Hong
    Su, Ting-Li
    Jin, Xue-Bo
    Kong, Jian-Lei
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2019, 61 (04) : 259 - 264
  • [47] Ensemble Deep Learning Network for Enhancing Performances of Sensor-based Physical Activity Recognition Based on IMU Sensor Data
    Mekruksavanich, Sakorn
    Jantawong, Ponnipa
    Jitpattanaku, Anuchit
    2024 5TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS AND PRACTICES, IBDAP, 2024, : 150 - 155
  • [48] Human activity recognition by combining external features with accelerometer sensor data using deep learning network model
    Neeraj Varshney
    Brijesh Bakariya
    Alok Kumar Singh Kushwaha
    Manish Khare
    Multimedia Tools and Applications, 2022, 81 : 34633 - 34652
  • [49] Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data
    Neeraj Varshney
    Brijesh Bakariya
    Alok Kumar Singh Kushwaha
    Multimedia Tools and Applications, 2022, 81 : 22307 - 22322
  • [50] Human activity recognition by combining external features with accelerometer sensor data using deep learning network model
    Varshney, Neeraj
    Bakariya, Brijesh
    Kushwaha, Alok Kumar Singh
    Khare, Manish
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (24) : 34633 - 34652
12345