scholarly journals Accurate Flexible Temperature Sensor Based on Laser-Induced Graphene Material

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Huang Kun ◽  
Liu Bin ◽  
Mostafa Orban ◽  
Qiu Donghai ◽  
Yang Hongbo

Body temperature is an essential physiological index reflecting human health. Accurate measurements of body temperature play a vital role in the diagnosis and treatment of diseases. In this paper, a temperature sensor manufactured by laser-induced graphene is introduced. This sensor has high measurement accuracy, simple preparation, and low production cost. The sensor is made of laser-induced graphene and is easier to fabricate and operate than traditional thermal resistance sensors. The sensor is of high accuracy, is easy to manufacture, and is of low cost. The sensor has high accuracy and is linear between 30°C and 40°C in the human body temperature ranges. Laser-induced graphene (LIG) sensor’s resistance value is correlated linearly with the temperature value, and compared with the infrared thermometer, the accuracy of the sensor is ±0.15°C while that of the infrared thermometer is ±0.30°C. The sensitivity of the LIG sensor is − 0.04145 % ° C − 1 .

Author(s):  
Asif A. Rahimoon ◽  
Mohd Noor Abdullah ◽  
Ishkrizat Taib

<span lang="EN-US">The recent advances in electronics and microelectronics devices allow the development of newly low-cost monitoring tools used by peoples for health preventive purposes. Sensors used in medical equipments convert various forms of human body vital signs into electrical signals. Therefore, the healthcare monitoring systems considering non-invasive and wearable sensors with integrated communication mediums allow an efficient solution to live a comfortable home life.  This paper presents the remote monitoring of human body temperature (HBT) wirelessly by means of Arduino controller with different sensors and open source internet connection. The proposed monitoring system uses an internet network via wireless fieldity (wifi) connection to be linked with online portal on smart phone or computer. The proposed system is comprised of an Arduino controller, LM-35 (S1), MLX-90614 (S2) temperature sensors and ESP-wifi shield module. The obtained result has shown that real time temperature monitoring data can be transferred to authentic observer by utilizing internet of things (IoT) applications. The findings from this research indicates that the difference of average temperature in between Sensor S1 and S2 is about 15 <sup>0</sup>C</span>


2014 ◽  
Vol 9 (1) ◽  
pp. 7-15
Author(s):  
Gustavo Campos Martins ◽  
Fernando Rangel de Sousa

Continuous patient monitoring enables early detection and treatment of diseases. Small and wireless devices are more comfortable to the patient and simplify the implantation procedure. This paper presents the design and partial testing of an integrated RF-powered temperature sensor suitable for the human body temperature range, from 35 to 42oC. The device was designed using a 130-nm standard CMOS technology and it receives energy from a 900-MHz signal that has power as low as −10 dBm. A calibration method was designed to obtain conversion errors smaller than 0.2oC.


2010 ◽  
Vol 139-141 ◽  
pp. 2042-2045
Author(s):  
Qing Hua Lu ◽  
Xian Min Zhang ◽  
Yan Bin Fan

Micro-displacement measurement with high accuracy plays a vital role in micro/nano manufacturing technology. In this paper, three low-cost techniques for micro-displacement measurement with high accuracy are discussed, and they are the methods based on DVD optical head, burred images and stop-action images. The techniques based on the DVD optical head and burred images are very attractive for many applications where the low cost is indispensable, and the method based on stop-action images has also better performance when measuring the static micro-displacement. Then, an application based on the stop-action images approach is given, and this method can measure the micro-displacement with nanometer accuracy. In addition, these discussions show that the methods based on the DVD optical head and burred images are a possible direction for low-cost micro-displacement measurement with high accuracy.


Author(s):  
Mustafa Wassef Hasan

This paper presents a new method of detection COVID-19 fever symptoms depending on IoT cloud services to solve the higher time delay of checking the crowded clients that enter public or private agencies which can lead to a dangerous field to spread the disease. An automatically checking process is suggested using a practical experiment is developed using (ESP8266 Node MCU, Ultrasonic (SR-04), RFID (RC522), human body temperature (MAX30205) sensors, and ThingSpeak platform). Where Node MCU is open-source hardware used to transmit the received data (human temperature sensor) from the (MAX30205) to the cloud platform (ThingSpeak) then alert the monitoring manager user when the collected data reached a critical value that specified previously and automatically take action to solve this situation. At the same time, the cloud platform will provide a graphical representation of the received data to display it using different monitoring devices such as (computers, mobiles, and others).


2021 ◽  
Author(s):  
JINGYU DAI ◽  
LING DUAN ◽  
HONGYU DAI ◽  
YUTONG XIE

Abstract The present study designs a wearable smart device regarding relationship between temperature and emotion. The device, amplifies, and sub-regionally transmits the current generated by the body temperature thermoelectric generator through a smart body temperature sensor. Different areas of clothing produce controllable and intelligent color, so that adult emotions can be understood through changes in clothing colors, which is conducive to judging their moods and promoting social interaction. Experimental results show that the device can accurately detect changes in human body temperature under hilarious, fearful, soothing, and angry emotions, so as to achieve changes in clothing colors, namely blue, red, green, and brown.


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