Wan Nurshazwani Wan Zakaria
Universiti Tun Hussein Onn Malaysia

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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

A Portable Insole Pressure Mapping System Kian Sek Tee; Yogindra Syam Hari Javahar; Hashim Saim; Wan Nurshazwani Wan Zakaria; Safinaz Binti Mohd Khialdin; Hazlita Isa; M. I. Awad; Chin Fhong Soon
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.7227

Abstract

The human locomotion is studied through gait analysis and is best observed instrumentally rather than observing visually. Thus, a portable insole pressure mapping system is built to assist in studying the human gait cycle. The pressure distribution is determined by instrumentally mapping the insole using force sensitive resistive sensors that are connected to Arduino UNO via cables. The values are saved into a secure digital card that could be post processed. Hardware and software design phase are executed for the development of this project. The outcomes match to the knowledge of human gait definitions in static posture and normal walking.
Vision Based Human Decoy System for Spot Cooling Tan Chun Hou; Wan Nurshazwani Wan Zakaria; Tai Sue Jing; Razali Tomari; Tee Kian Sek; Anis Azwani Muhd Suberi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.7229

Abstract

This project aims to reduce the energy consumption of air conditioner usage while maintaining occupant comfort. Cooling down the unoccupied space can be considered as waste of energy. Therefore, a human decoy system is proposed to track any human in the detection area. Image contains depth data in each pixel which can be used to detect the presence of target subject as well as their position. The acquired position data is processed by using MATLAB and subsequently is transmitted to Arduino Mega using serial communication to control stepper motors. The experimental results show that the air conditioner airflow is successfully can be directed to the target human subject with average response of 0.860 seconds per movement within detection area.