scholarly journals Design A Multi Biometric System for Safe Access to Buildings

2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Abdul Monem S. Rahma ◽  
Rehab F. Hassan ◽  
Shaymaa Hamandi

Designing a multi-biometric system for safe access to buildings is a very critical process because this system will act as an alternative of humans in observation, and must make smart decisions to protect the building from any intruder depending on the biometric information of the entering persons. In this paper a full design of a proposed multi-biometric system will be presented, two sensors are used (Visible and Thermal). the proposed system consists of several subsystems The first is the construction of a database that contains all the photos and information about each person who belongs to the building, the central system using visible and thermal cameras, and the peripheral system using visible cameras only. The central system is capable of remotely identifying and ensure of the health condition (Temperature, Heart Rate, Respiration Rate) of each entering person which is a very important process, especially with the COVID-19 pandemic. The peripheral system monitors any suspicious issue like crowed or walking outside allowed lines.

Author(s):  
Musyahadah Arum Pertiwi ◽  
I Dewa Gede Hari Wisana ◽  
Triwiyanto Triwiyanto ◽  
Sasivimon Sukaphat

Heart rate and body temperature can be used to determine the vital signs of humans. Heart rate and body temperature are two important parameters used by paramedics to determine the physical health condition and mental condition of a person. Because if your heart rate or body temperature is not normal then you need to make further efforts to avoid things that are not desirable. The purpose of this study is to design a heart rate and body temperature. In this study, the heart rate is detected using a finger sensor which placed on the finger. This sensor detects the heart rate pulses through infrared absorption of blood hemoglobin, and measure the body temperature using a DS18B20 temperature sensor which is placed axially. DS18B20 sensor works by converting temperature into digital data. The measurement results will be displayed on liquid crystal display (LCD) 2 x 16 and the data will be sent to android mobile phone via Bluetooth.  After the comparision beetwen the desain and the standart, the error is 0.46% for beats per minutes (BPM) parameters and 0.31 degrees Celsius for temperature parameters.


2015 ◽  
Vol 17 (2) ◽  
Author(s):  
Galuh Wahyu Wohingati ◽  
Arkhan Subari

Galuh Wahyu Wohingati, Arkhan Subari, in paper pulse measuring tool using pulsesensor based on Arduino Uno R3 integrated with Bluetooth explain that emerging disease and claimed the lives of many people is often due to late treatment , when it should be in the modern era has many tools made to overcome this problem , medical devices can only be used by medical experts , and of course takes time and no small cost . as well as heart disease which sometimes can only be detected when it is advanced because of the lack of monitoring , both from people who are sick or from a doctor . Other factors that cause costs adalahkesibukan and not everyone can do medical check- ups regularly . Whereas By knowing the health condition of a person's heart rate will then be awake , do not need expensive care from a doctor , but could by changing lifestyle . Therefore it needs to be made a tool that can measure heart rate , showing whether or not the condition of the heart and of course, this tool can be used by everyone without kecuali.Dengan development of technology and the number of components on the market which can be accessed , Arduino Uno facilities in R3 can be used . Arduino is a physical computing platform that is open source means , Arduino can be developed by many people , not just programmers .But not just a development tool , Arduino is a combination of hardware , programming language and integrated development environment ( IDE ) that is advanced . Paired with a pulse sensor , a media reader analog heart rate is then converted into digital data that is in the readings , then integrated using serial bluetoothsecara so it can be displayed on your android smartphone and used repeatedly as needed measurements .. Keywords : Arduino Uno R3 , pulse sensor , Bluetooth


Author(s):  
Santa Maria Shithil ◽  
Mashiwat Tabassum Waishy ◽  
Lomat Haider Chowdhury

Biometric system is gaining popularity increasingly since it provides the most sophisticated technology for authentication, verification, and identification. This technology can identify each individual person on the basis of their biometric information such as their face, hand features, signatures, DNA, or iris pattern and thus can impart a secure and convenient method for authentication purposes. Hand biometrics is one of the most widely used biometric systems. There are two approaches for capturing hand biometrics: contact-based and contactless. In this paper, we present a thorough review of the state of the art contactless hand verification systems. We also present the various modules of the general contactless hand verification system and analyze various hand biometrics features.


Author(s):  
C. Dineshkumar ◽  
M. Subramanian ◽  
Jenorish Muthaya ◽  
V. Deepan

In recent times most of the automotive vehicle accidents are increased day by day in India. Recent causes of the accident shows that more than 20% of accidents are caused due to health issues which occur to drivers while driving the vehicle. In the proposed project we had been monitoring the status of health condition of the driver by using sensors such as pulse rate sensor and temperature sensor. The heart beat rate falls below the lower limit and above the higher limit to the driver. The driver can be prevented from driving the vehicle when he is in extreme emotion such as heart attack, arrhythmias, heart stiffening or weakening, cardiomyopathy, stress, anxiety, depression etc. The speed of the vehicle is measured by speed sensor in the vehicle. The ultrasonic sensor which is used to sense the object placed in the front of the vehicle. The result is to create a system capable of contributing to the reduction of collisions. The driver who suddenly suffers from health issue especially heart attack while driving the vehicle cannot handle the vehicle because during heartache the movement of hands is difficult to control the vehicle which leads to accidents. The heart rate sensor placed in seatbelt of the driver and heat sensor in the driver seat. The sensors collect the data and send it to the control unit which interprets the data with the standard value and if some values are unusual may be in heart rate, blood pressure. The control unit sends out a warning signal to the driver and if the driver doesn’t show any reaction within the set time the braking system is actuated.


It’s very hard to know that Over 467,044 accidents took place specifically on the road in our country in 2018 as per a report revealed by the MoRTH recently. Rapid increasing in numbers of vehicles on the road, stress level of drivers in traffic and even lethargic driving are few reasons for road accidents. Unfortunately, sudden heart attacks of drivers also a reason behind some road accidents; this can be preventable. During driving, monitoring heart rate is not a big deal in today’s hi-tech world. Health monitoring while driving is not only important in daily healthcare, also a prevention of bus accidents. Here the proposed work is designing a smart steering wheel based on the technology so-called the Internet of Things (IoT) that monitors the heart rate and foresees the onslaught of fatigue of a driver; also it shares the location to the rescue team. Pulse sensor, GPS and GSM modules are conjoined into the steering wheel. The setup once it gets powered-up, which transmits the data of a driver’s health condition and get stored in the cloud environment. By this approach, the steering wheel gives the real-time based monitoring. Therefore this work is aiming for the development of a system which includes multiple sensors incorporated with the steering wheel which is capable to measure the pulse rate and alert the rescue team dynamically about the health related data of a driver, to prevent accidents.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Qiong Chen ◽  
Yalin Wang ◽  
Xiangyu Liu ◽  
Xi Long ◽  
Bin Yin ◽  
...  

Abstract Background Heart rate (HR) is an important vital sign for evaluating the physiological condition of a newborn infant. Recently, for measuring HR, novel RGB camera-based non-contact techniques have demonstrated their specific superiority compared with other techniques, such as dopplers and thermal cameras. However, they still suffered poor robustness in infants’ HR measurements due to frequent body movement. Methods This paper introduces a framework to improve the robustness of infants’ HR measurements by solving motion artifact problems. Our solution is based on the following steps: morphology-based filtering, region-of-interest (ROI) dividing, Eulerian video magnification and majority voting. In particular, ROI dividing improves ROI information utilization. The majority voting scheme improves the statistical robustness by choosing the HR with the highest probability. Additionally, we determined the dividing parameter that leads to the most accurate HR measurements. In order to examine the performance of the proposed method, we collected 4 hours of videos and recorded the corresponding electrocardiogram (ECG) of 9 hospitalized neonates under two different conditions—rest still and visible movements. Results Experimental results indicate a promising performance: the mean absolute error during rest still and visible movements are 3.39 beats per minute (BPM) and 4.34 BPM, respectively, which improves at least 2.00 and 1.88 BPM compared with previous works. The Bland-Altman plots also show the remarkable consistency of our results and the HR derived from the ground-truth ECG. Conclusions To the best of our knowledge, this is the first study aimed at improving the robustness of neonatal HR measurement under motion artifacts using an RGB camera. The preliminary results have shown the promising prospects of the proposed method, which hopefully reduce neonatal mortality in hospitals.


Fuzzy logic is a mathematical tool that can provide a simple way to derive a conclusion with the presence of noisy input information. It is a powerful intelligent tool and used heavily in many cognitive and decision-making systems. In this chapter, fuzzy logic-based fusion approach for multimodal biometric system is discussed. After discussing the basics of fuzzy logic, the fuzzy fusion mechanism in the context of a multimodal biometric system is illustrated. A brief discussion on the research conducted for fuzzy logic-based fusion in different application domains is also presented. The biggest advantage of the system is that instead of binary “Yes”/“No” decision, the probability of a match and confidence level can be obtained. A fuzzy fusion-based biometric system can be easily adjusted by controlling weight assignment and fuzzy rules to fit changing conditions. Some results of experimentations conducted in a recent research investigation on two virtual multimodal databases are presented. The discussion on the effect of incorporating soft biometric information with the fuzzy fusion method to make the system more accurate and robust is also included.


2007 ◽  
Vol 85 (7) ◽  
pp. 672-678 ◽  
Author(s):  
Anita Fust ◽  
Newman L. Stephens

Relaxation of airway smooth muscle is an inadequately understood yet critical process that, if impaired, may have significant implications for asthma. Here we explore why relaxation is an important process to consider, how it may determine airway hyperresponsiveness, and some of the factors that influence relaxation of the airway smooth muscle. These include mechanical and biochemical factors such as deep inspirations or large amplitude oscillation of the muscle, plastic properties of the muscle, the load the muscle experiences, calcium, phosphorylation of the myosin light chain, cytoskeletal proteins, and sensitization.


Author(s):  
N. F. A. Jamal ◽  
K. A. Sidek

<p>This study investigates the feasibility of photoplethysmogram (PPG) signals in monitoring health condition and designing a portable health monitoring kit which is suitable for home use. The aim of this study is to ease people in monitoring their health continuously without the need to go to the hospital which can save a lot of time. The focus of this study is to find heart rate and blood pressure recording. The type of PPG sensor used in this project is a non-invasive PPG which measures the blood volume changes in any part of the body. A total of 16 subjects consisting of male and female with age range of 20 to 60 years old were involved in this research. The heart rate and blood pressure for each subject were acquired and analyzed. Based on the result, it shows that higher heart rate reading is associated with female and younger age groups. Meanwhile, for blood pressure value, male subjects tend to have higher blood pressure as compared to female subjects. However, there is no specific pattern for blood pressure in terms of the age group. In the case of HRV analysis based on Kubios software, the SDNN value is higher for male and older age subjects. Meanwhile, the RMSSD value is lower for male and older age subjects. Therefore, PPG signal has the capability to monitor the health status of an individual, which acts as an alternative biological signal for the existing health monitoring systems.</p>


Foristek ◽  
2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Aprilia Aprilia ◽  
Tan Suryani Sollu

Heart rate and oxygen levels in the blood are very important for medical personnel to know the patient's health condition, with the existing real-time of heart rate monitoring system and oxygen levels in the blood based on IoT, it can facilitate the workload of medical personnel. This tool uses the Max30100 sensor to detect heart rate and oxygen levels in the blood and NodeMCU ESP8266 as controlling and sending sensor data to the IoT platform on android and PC wirelessly. The results of sending heart rate data and oxygen levels in the blood on Blynk and web servers have an error alignment average of 1.7% and 0%. and measurements have an average of 87 bpm and 96% of SpO2 in adolescents 20-24 years with the results of the measurements indicate the patient's condition is normal.


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