DOI:10.20894/IJCNES.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.217
Submission:Any Time
Publisher:IIR Groups
Language:English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJCNES provides online manuscript tracking system.

Every issue of Journal of IJCNES is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJCNES special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJCNES website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 9 Issue 1 Date of Publication:   June 2020

Evolutionary model and Fuzzy Finite State Machine for Human activity recognition

R.Karthigasri,M.Sornam

Page(s):   27-33 ISSN:   2278-2397
DOI:   10.20894/IJCNES.103.009.001.004 Publisher:   Integrated Intelligent Research (IIR)

Human activity recognition (HAR) aims to acknowledge activities from a series of observations supported the actions of subjects and therefore the environmental conditions. The HAR research is the basis for many applications including video surveillance, health care, and human-computer interaction (HCI). In this research work, proposed sequential classification problems with evolutionary model and with fuzzy finite state machine. The approach is employed to process and analyze data sets, like activities of daily living (ADL) and activities of daily working (ADW) and later applied with machine learning algorithms namely support vector Classification (SVC), Decision Tree to classify the activities. The technique fuzzy finite state machine and genetic algorithm (G-FFSM) shows better results in terms of performance measures accuracy, precision, recall, f1-scores with 96% average.