Conference Paper2020Cited by 10

hActNET: An Improved Neural Network based Method in Recognizing Human Activities

Atiqul Islam Chowdhury, Mohsena Ashraf, Ashraful Islam, Eshtiak Ahmed, Md Saroar Jaman, Mohammad Masudur Rahman

2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

IEEE, pp. 1–6

DOI: 10.1109/ismsit50672.2020.9254992URL

Abstract

Human activity recognition (HAR) is considered as one of the most difficult and challenging issues now a days. Many experiments are now in progress regarding this problem. Among many human activities, mostly six are considered for research in this area. This activity recognition issue can be measured with the help of smartphones and smartphone sensors, along with the connection of Internet of Things (IoT) devices. In this research, an improved deep learning scheme is proposed for the recognition of human activities. A customized Neural Network (NN) model was designed and tested for the research. The proposed model obtained 96.47% accuracy on the HAR with smartphones dataset that is better than most other analyzed models. Sensors such as accelerometer, gyroscope are focused on the data analysis portion of this research work. This article will give a clear idea of the dataset, Machine Learning algorithms, and the effect of the proposed algorithm.

Keywords

  • human activity recognition
  • Gyroscope
  • Accelerometer
  • smartphone sensors
  • Internet of Things
  • neural network model
  • wearable sensor data
  • Deep learning

CCDS Authors

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Eshtiak Ahmed
Eshtiak Ahmed

Eshtiak Ahmed

  • Collaborator, HCI Wing

Doctoral Researcher

Gamification Group

Tampere University, Finland

Published at

UbiComp, ICIP, HCII, IEEE Access

Research Interests

Human-Computer Interaction, Human-Robot Interaction, Gamification and Assistive Technologies

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Cited By

  1. 1.Michail Kaseris, Ioannis Kostavelis, Sotiris Malassiotis. (2024). A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition. Machine Learning and Knowledge Extraction, 6(2), 842–876[10.3390/make6020040]
  2. 2.Faisal Bin Ashraf, Muhammad Usama Islam, Md Rayhan Kabir, Jasim Uddin. (2023). YoNet: A Neural Network for Yoga Pose Classification. SN Computer Science, 4(2), 198[10.1007/s42979-022-01618-8]
  3. 3.Shammy Shikder Shanta, Md. Sham-E-Ansari, Atiqul Islam Chowdhury, Mohammad Munem Shahriar, Md. Khairul Hasan. (2021). A Comparative Analysis of Different Approach for Basic Emotions Recognition from Speech. 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), 1–4[10.1109/icecit54077.2021.9641208]
  4. 4.F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Saima Afrin, Md. Shakil Moharram, Mahdia Amina, Tonmoy Roy. (2022). A Model Based on Convolutional Neural Network (CNN) for Vehicle Classification. Lecture notes on data engineering and communications technologies, 519–530[10.1007/978-981-16-9416-5_37]
  5. 5.F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Md. Shakil Moharram, Tonmoy Roy, Masudur Rahman, Biraj Saha Aronya. (2022). A Transfer Learning Approach for Face Recognition Using Average Pooling and MobileNetV2. Lecture notes on data engineering and communications technologies, 531–541[10.1007/978-981-16-9416-5_38]
  6. 6.Taki Hasan Rafi, Faisal Farhan. (2021). A Performance Evaluation of Machine Learning Models on Human Activity Identification (HAI). Advances in intelligent systems and computing, 256–265[10.1007/978-3-030-73689-7_25]
  7. 7.Roseline Oluwaseun Ogundokun, Rytis Maskeliunas, Robertas Damaševičius. (2023). Human Posture Detection on Lightweight DCNN and SVM in a Digitalized Healthcare System. , 1–6[10.1109/icapai58366.2023.10194156]
  8. 8.S. Prabagaran, Ashok Kumar Bandla, R J Venkatesh, M. Jeba Malar. (2024). Poplar Optimization Algorithm-Driven Hybrid Siamese Top-Down Neural Networks for Accurate Human Activity Recognition in IoT Networks. , 392–398[10.1109/icoici62503.2024.10696211]
  9. 9.Musfiqur Rahman Foysal, Nazmun Nessa Moon, Ms. Asma Mariam, Israt Jahan, Fernaz Narin Nur. (2021). Advanced Plant Disease Detection By Using Tensorflow. 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), 1–4[10.1109/smartgencon51891.2021.9645807]
  10. 10.Jarin Nooder, Ashrarfi Mahbuba, Shayla Sharmin, Nazmun Nessa Moon, Lamisha Haque Poushy, Salauddin Ahmed Bhuiyan, Samia Nawshin. (2021). Machine Learning Approach to Find Students' Best Place to Study: Home vs Hostel. , 3, 123–129[10.1109/icitech50181.2021.9590130]
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