@inproceedings{ad9af7b4b22644b4a7ddeaed9b6726d9,
title = "Smart Scale Tracking System Using Calibrated Load Cells",
abstract = "In this paper, a multipurpose smart tracking system that operates as a weighting scale and as a human tracking system by utilizing human gait is designed and analyzed. The prototype presented in this paper can function as a standalone system (e.g industrial weighting machine) or as part of a larger multilevel biometric system. The design uses load cells as it's primary input sensors. Eight load cells were used to build the prototype sensing platform. When weight is placed on the platform, the change in resistance of the load cells are recorded as analog signals which are fed into an amplifier and then to an Arduino microprocessor for data processing, data analyzing and data representation.The whole system can be powered by a 9V battery or solar energy. Between 5kg to 20kg of static weights and 10 individuals of varying age groups, gender, weight and foot sizes were used for testing the precision and accuracy of the sensing platform.",
keywords = "Calibration, Gait, Load cells, prototype, Weight scale",
author = "Sedia Jaiteh and {Adillah Suhaimi}, {Su Farah} and {Ching Seong}, Tan and Buhari, {Adamu Muhammad} and Lee Lini and Hisham Neyaz",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies, CSUDET 2019 ; Conference date: 07-11-2019 Through 09-11-2019",
year = "2019",
month = nov,
doi = "10.1109/CSUDET47057.2019.9214692",
language = "English",
series = "2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies, CSUDET 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "170--174",
booktitle = "2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies, CSUDET 2019",
address = "United States",
}