Recognition System for Ergonomic Mattress and Pillow: Design and Fabrication

Abstract

Getting proper rest is an essential issue, but it is neglected as the major component of every person’s overall health and well-being. Enough proper rest has a lot of proven health benefits. This paper aims at proposing a systematic framework to find the suitable pillows and mattresses for individuals to have proper rest and sleep. The proposed system includes a set of force-sensing resistors (FSR), thermal sensors, humidity-thermal sensors, and a central unit to process the acquired data. Customized software in LabVIEW is developed to monitor the results and ultimately identify the proper ergonomic mattresses and pillows for users. Initial experiments were performed based on zonal performance and multitasking to design, construct, and test each system as a novel hypothesis. The studies and tests were carried out in two steps. The first step included hardware testing and sensor arrangement, and the second step involved processing the acquired data to identify a good product. In this study, we propose a feasible framework to select convenient mattresses and pillows for each person.

KEYWORDS:

• Mattress
• Pillow
• Sleep
• Microcontroller
• Electronic sensors

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Jiangxi University of Science and Technology: [grant no 2021205200100563].

Notes on contributors

Ata Jahangir Moshayedi

Ata Jahangir Moshayedi, associate professor at Jiangxi University of Science and Technology, China, received his doctorate in electronic science in the field of mobile olfaction from the Department of Electronic Science Savitribai Phule Pune University, Pune, India. He is Member of IEEE, Instrument Society of India as a life Member, life Member of Speed Society of India, Member of the editorial team of various conferences and journals like; International Journal of Robotics and Control, JSME, Bulletin of Electrical Engineering and Informatics, International Journal of Physics and Robotics Applied Electronics, etc. Published papers in national journals and conferences, three published books, owner of 2 patents and nine copyrights. His research interests include robotics and automation/sensor modeling/biology-inspired robots, mobile robot olfaction/column tracking, embedded systems/machine vision-based systems/virtual reality, and machine vision/artificial intelligence.

Maziar Hosseinzadeh

Maziar Hosseinzadeh received his MSc degree in robots design and mechatronics systems at Khomeinishahr Azad University in 2018. Currently, he is focusing on embedded systems, visual programming, and robotics. Email: [email protected]

Bhagyashree P. Joshi

Bhagyashree P Joshi received her Master of Science and Doctorate degree in instrumentation science from the Department of Instrumentation Science, Savitribai Phule Pune University, Pune, India, where she is currently working as an assistant professor since 2014. Her research interest includes virtual instrumentation and LabVIEW programming, analogue and digital signal conditioning for sensor application, and industrial automation. Email: [email protected]

Mehran Emadi Andani

Mehran Emadi Andani received the BSc in electronics engineering, the MSc, and the PhD in electrical-biomedical engineer ing. assistant professor at the University of Isfahan, Department of Biomedical Engineering (Isfahan, Iran), and research associate at the University of Verona, Department of Neurosciences, Biomedicine, and Movement Sciences (Verona, Italy).His research interests include system identification and pattern recognition; biological signal processing; biological system modeling; artificial intelligence; optimization; and prediction. Email: [email protected]