scholarly journals A Novel Smart Textiles To Reflect Emotion

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.

Author(s):  
S PRABHAKARAN ◽  
DHANESHWARI KUMARI ◽  
RIA AHUJA

Android Application for measuring human body temperature is a new age mobile thermometer. This kind of application already exists but requires manual feeding temperature. In our project, we propose an application which will measure the body temperature automatically while the user is operating the mobile device. It has an in-built function which can trigger alert messages whenever the temperature becomes critical more than normal human body temperature. The display segment of the device is made up of capacitive touch screen, which can act upon the bioelectricity produced by human body with each and every touch. This application requires Android Operating System Version 2.2. It will also diagnose the other diseases the user might have depending upon the symptoms entered.


2018 ◽  
Vol 7 (4.35) ◽  
pp. 264
Author(s):  
N. Rosli ◽  
H. Mohamed

The objective of this work is to investigate the potential use of a thermoelectric generator (TEG) in harvesting human body heat at four body locations namely forehead, wrist, palm and calf for different human activities in Malaysia. Important parameters for this experiment are human body temperature, room temperature, output voltage, output resistance and output power. A healthy male and female perform a series of activities including resting, walking and running for 10 minutes in an indoor setting. Results indicate the relevant effects of temperature and movement on producing power from human body heat. Different parts of the body have different temperatures, thus creating different output powers. Results show that as the movement increases, the human body temperature and the amount of energy harvested also increase. It is also observed that forehead provides the highest amount of power generated during running activity. When the body temperature is above 35 °C, the TEG can generate power more than 5.0 mW. The highest power generated during the experiment is 9.5 mW. Even though Malaysia is known as a hot and humid region, TEGs can be feasibly utilized as a wearable device that converts human heat energy into electrical energy.


2020 ◽  
Author(s):  
Junyi Zhou ◽  
Xuan Chen ◽  
H.M. Zhang ◽  
Aimin Chang ◽  
Ting Liu

Abstract There has recently been renewed interest in wearable devices and electronic skin because of the demand in real-time monitoring of human body temperature. This work developed a flexible paper-based temperature sensor by screen printing technology. The sensing layer is composed of Mn-Co-Ni metal oxide powders filled with Polyvinyl butyral (PVB). The flexible temperature sensor shows extremely high sensitivity (3.14%° C− 1) at human body temperature (25 to 45° C). It also exhibits excellent durability (less than 0.25%) during the long-term aging tests, which indicates that the flexible temperature sensor has great potential in wearable devices and electronic skin.


ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 105
Author(s):  
Muhammad Yeza Baihaqi ◽  
Vincent Vincent ◽  
Joni Welman Simatupang

Novel Corona Virus (nCoV) infects human’s respiratory system. It spreads easily when an infected person makes a close contact with other people. To prevent its massive spread, it is necessary to ensure anyone coming to a certain place is not being infected. The symptoms include high body temperature (≥37.5°C) and low oxygen saturation level (≤95%). This day, most places only check the human body temperature. Thus, the authors are interested to make an attempt to design a system that is able to measure both human body temperature and oxygen saturation level. This work also applies the 7-DoF Upper-Body of Humanoid Robot to prevent virus spread from and to the employee. The system will detect the coming of visitors by using face detection. It requires 7.24 seconds to detect the visitor without a mask, and 1.26 second when the visitor wears a mask. The body temperature measurement was done using GY-906 temperature sensor with an error of 0.51%. For the oxygen saturation level measurement, MAX30100 pulse oximeter module was applied and showed an error of 0.78%. In addition, the upper-body of humanoid robot will perform some gestures to instruct the visitors in every process of the system. The implemented 7-DoF upper-body of humanoid robot has 93.33% gesture comprehension rate. In conclusion, the overall system has been tested and showed success rate up to 75%.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S304-S304
Author(s):  
Kaj Svedberg

AimsReferrals to the psychiatric Liaison team in A&E seem to come in the afternoon in kismet as the day shift is ending. This study looked at the timing distribution of referrals to try improve amount of jobs being handed over to the evening shifts.MethodReferrals made to Homerton University Hospital (HUH) psychiatric liaison was parsed into 1 hour bins and plotted as a histogram (data between August 2016–October 2019. N = 14182). The data were compared to diurnal human body temperature variation, as well as data published on Hospital Accident & Emergency Activity 2019–20 (digital.nhs.uk) for Ambulance attendances.ResultReferrals to HUH liaison team appear to closely follow the average human body temperature variations per hour (Pearson Correlation coefficient = 0.90). A peak appears to occur around 4 PM, and a low at 7AM. The referrals data also mirrored timings of official Hospital Episode Statistics (HES) reports 2019–2020 for ambulance attendance in England (Pearson Correlation coefficient = 0.94).ConclusionAttendance to A&E and referrals to psychiatric liaison appear correlated to a circadian bound rhythm. “The 4PM referrals rush” appears to be a genuine phenomenon replicated in not only HUH mental health referrals, but general ambulance attendance throughout all of England. The body temperature analogue for circadian rhythm may be humorously applied here to correlate with the increased referral rates to A&E; the emergency department could be said to be truly heating up in the afternoon. Indeed temperature and activity has already been shown to link strongly via the Arrhenius equation in cricket activity such as chirps per minute. The conclusions drawn here are that acute mental health attendances, like general health attendances as a whole follow underlying but powerful patterns, and provisions might best be allocated to address this rather than thinking of fixed 9-5 working schedules.


2021 ◽  
Vol 2112 (1) ◽  
pp. 012024
Author(s):  
Guangdong Mei ◽  
Senlin Peng ◽  
Zhiwei Zeng ◽  
Tingdi Liao ◽  
Yantang Huang

Abstract Infrared thermography thermometer is a non-contact temperature measuring equipment, which is widely used in the stage of large-scale epidemic of the covid-19 pandemic. It is used for rapid screening of human body temperature in crowded places at the entrance and exit of airports, docks, shopping malls, stations and schools. But when the outdoor temperature approaches or exceeds the body temperature in summer, can this method of measuring body surface temperature by infrared thermal imager be used as a standard for screening fever? Under the condition of high temperature in summer, the field experiment of measuring body temperature by infrared thermal imager is carried out, the experimental results are analyzed. We recommend the use of relative temperature difference for screening patients with fever.


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