Now 6705 visitors
Today:0 Yesterday:0
Total: 145905 286S 69P 26R
2026-11-12, Week 46
Member Login
TACT Journal Homepage
Author Homepage
Call for Paper
Paper Procedure
Paper Submission/Update
Invoice/Registration
CRF Submission/Update
Find My Paper
Statistics & History
Welcome Message
Committee
FAQ
Paper Archives
Outstanding Papers
Program & Proceedings
Presentation Platform
Hotel & Travel Info
Photo Gallery
Scheduler Login
Seminar
Archives Login
Sponsors




















IEEE/ICACT20220120 Question.3
Questioner: tomayoon@ieee.org    2022-02-15 ¿ÀÈÄ 12:10:32
IEEE/ICACT20220120 Answer.3
Answer by Auhor lehonglam@vnu.edu.vn   2022-02-15 ¿ÀÈÄ 12:10:32
Will you tell us what is the major achievement of this paper, and also what is further study issue from this? Thanks in advance!! In this paper, we proposed a novel method for improving classifiers using Particle Swarm Optimization to deal with wearable sensor data. The wearable sensor data was preprocessed and transformed into Time, Frequency, and Hjorth domains, and then, the PSO optimization algorithm has been applied to find the optimal set of parameters for the RF algorithm to improve its detection rate. In the future, we will expand our research towards building a feature set from many sensors to improve and enhance the stability of the fall detection system.

Select Voice