Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network
PaperId: :  17269
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17269
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Thu Dao ThiThai Nguyen University of Information and Communication Technology, Viet Nam
Tinh Nguyen ThiThai Nguyen University of Information and Communication Technology, Viet Nam

Abstract

Computer Engineering
Acceleration, Human Activity Recognition. Multi-Modal. Multi-Stage Temporal Convolutional Network. Skeleton
: Skeleton data is among the most widely used for Human Activity Recognition (HAR) due to its advantages. However, it is difficult to meet the classification requirements using a single modality. Although some recent studies use more than one type of vision data, such as combining skeleton data with RGB or Depth and get some improvements, combinations being hopefull of data from ambient and wearable sensors are still rare. In this paper, we proposed a method for Human activity recognition based on Multi-Stage Temporal Convolutional Network (MS-TCNs) and a fusion of skeleton and acceleration acquired from Kinect sensors and inertial sensors, respectively. We firstly use Multi-Stage Temporal Convolutional Networks to model time series data of skeleton and acceleration. Feature vectors being outputs of MS-TCNs are then combined and passed through two fully connected layers to give labels. The experimental results demonstrated the expected effects of combining inertial sensor data and derived data of the visual data in the HAR problem. The proposed method is evaluated on a benchmark datasets for action recognition (UTD-MHAD dataset). The proposed method outperforms the state-of-the-art ones. That the proposed method reached 95.2 % with recognition rate provides the prospects of our proposed framework.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Thu Dao Thi, and Tinh Nguyen Thi. "A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 3594-3598
MLA Thu Dao Thi, and Tinh Nguyen Thi. "A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 3594-3598.
APA Thu Dao Thi, & Tinh Nguyen Thi. (2022). A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 3594-3598.
Chicago Thu Dao Thi, and Tinh Nguyen Thi. "A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 3594-3598.
Oxford Thu Dao Thi, and Tinh Nguyen Thi. 'A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 3594-3598. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_multimodality_method_for_human_activity_recognition_based_on_Multi_Stage_Temporal_Convolutional_Network_ijariie17269.pdf (Accessed : ).
Harvard Thu Dao Thi, and Tinh Nguyen Thi. (2022) 'A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 3594-3598IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_multimodality_method_for_human_activity_recognition_based_on_Multi_Stage_Temporal_Convolutional_Network_ijariie17269.pdf (Accessed : )
IEEE Thu Dao Thi, and Tinh Nguyen Thi, "A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 3594-3598, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_multimodality_method_for_human_activity_recognition_based_on_Multi_Stage_Temporal_Convolutional_Network_ijariie17269.pdf [Accessed : ].
Turabian Thu Dao Thi, and Tinh Nguyen Thi. "A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Thu Dao Thi, and Tinh Nguyen Thi. A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 3594-3598. Available from: https://ijariie.com/AdminUploadPdf/A_multimodality_method_for_human_activity_recognition_based_on_Multi_Stage_Temporal_Convolutional_Network_ijariie17269.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
OPTIMIZATION OF THE BIG DATA SECURITY BASED ON THE COMBINATION OF IMPROVED ATTRIBUTE ENCRYPTION AND THE BLOCKCHAIN.Science of engineeringRAVELOJAONA Andriantsitoherintsoa, Download
Effective Transmission Capacity Management Technique Using Z-Score Outlier Normalization AlgorithmTelecommunication EngineeringLutfor Rahman Download
IMPLEMENTATION OF WOMEN SAFETY SYSTEM BASED ON EMBEDDED SYSTEM WITH FINAL RESULTE & TC EngineeringAGRAWAL NISHA AJAY Download
Ultrametric hierarchical resource utilization model using p-adic numbersComputer Engineering, cognitive science, telecommunication, mathematicalToky Basilide RAVALIMINOARIMALALASON Download
A multimodality method for human activity recognition based on Multi-Stage Temporal Convolutional NetworkComputer EngineeringThu Dao Thi Download
Power consumption reduction on RADAR MIMO using Lift Wavelet Transform – Orthogonal Frequency Division Multiplexing (LWT-OFDM)TELECOMMUNICATIONRANDRIANANDRASANA Marie Emile Download
3D estimation of Direction of Arrival using Uniform Phased Array Antenna on multi-targeting FMCW RADARTELECOMMUNICATIONRANDRIANANDRASANA Marie Emile Download
RADAR CROSS SECTION ( RCS )TELECOMMUNICATIONRANDRIANANDRASANA Marie Emile Download
PERFORMANCE OF MIMO RADAR AND PHASED ARRAY RADARTelecommunication EngineeringANDRIAMANALINA Ando Nirina Download
PERFORMANCE OF SPACE TIME BLOCK CODE OVER MIMO CHANNELTelecommunication EngineeringANDRIAMANALINA Ando Nirina Download
SPATIAL MULTIPLEXING WITH SUCCESSIVE INTERFERENCE CANCELLATIONTelecommunication EngineeringANDRIAMANALINA Ando Nirina Download
PERFORMANCE OF FIXED BEAMFORMINGTelecommunication EngineeringANDRIAMANALINA Ando Nirina Download
COLOCATED MIMO RADAR: BEAMFORMING TRANSMISSION, WAVEFORM MODELING, TARGET PARAMETER ESTIMATIONTELECOMMUNICATIONRANDRIANANDRASANA Marie Emile Download
COMPRESSION AND SECURITY OF ANALOG SIGNAL INFORMATION USING COMPRESSIVE SENSING AND HYBRID CRYPTOGRAPHYTelecommunicationRANDRIANANDRASANA Marie Emile Download
CUSTOMER CONSOLIDATION STRATEGY THROUGH RURAL FOCUS TO MITIGATE MARKET STRESS IN TELECOM SECTOR – A CASE STUDY WITH AIRTEL (BHARTI AIRTEL LIMITED)Telecommunication Dr R Manu Download
12