scholarly journals Development of an Automatic Body Mass Index Measurement Machine

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Theophilus Ewetumo ◽  
Kayode D Adedayo ◽  
Yusuf B Lawal ◽  
Abiodun T Edun ◽  
Joseph E Orokhe
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Load Cell ◽  
The Body ◽  
Processing Unit ◽  
Height Measurement ◽  
High Positive Correlation ◽  
Button Cell ◽  
Arduino Uno ◽  
Measuring Unit

The potential occurrence of certain illnesses can be easily diagnosed through measurements of some health indicators. One of such parameters is the Body Mass Index (BMI). BMI is simply the ratio of mass (kg) of a body to the square of its height (m2). This research presents the design and construction of an automated BMI measurement machine for medical purposes. It consists of three major units: the weighing unit (5 – 200 kg); height-measuring unit (0.02 – 2 m) and the processing unit. The weighing unit is made up of load button cell and load cell amplifier while the height-measuring unit consists of ultrasonic sensor. The analog differential output voltage from load cell is connected to arduino microcontroller via a Programmable Gain Amplifier (PGA) integrated with Analogue-to-Digital Converter (ADC). The two units are connected to an open source arduino uno which computes mass-to-body ratio and sends the output results (mass, height and BMI) to the liquid crystal display (LCD). The weighing system was calibrated against a precision digital weighing system and it gave a correlation of 0.99. The height measurement was also compared with manual height measurement using a tape rule which gave a correlation of 0.97. The developed Instrument is cost effective and has high positive correlation with the standards (weighing scale and tape rule), it is therefore recommended for the measurement of weight, height and BMI. Keywords— load button cell, load cell amplifier, ultrasonic, body mass index, arduino uno

Alat Ukur Berat Dan Tinggi Badan Proporsional Dengan Output Suara Pada Seleksi Penerimaan Taruna Baru ATKP Medan

2020 ◽  
Vol 4 (2) ◽  
pp. 69
Author(s):  
Ayub Wimatra ◽  
Tiara Sylvia ◽  
Nurmahendra Harahap ◽  
Asri Santosa ◽  
Rizaldy Khair ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Load Cell ◽  
Arduino Uno

Memiliki tubuh proporsional sangat berpengaruh terhadap berat tubuh dan tinggi badan manusia, dalam menentukan tubuh yang proporsional dapat diketahui dengan menggunakan rumus BMI (Body Mass Index) atau index masa tubuh yang bermanfaat untuk dapat menentukan berat badan yang ideal bagi tiap orang yang telah diklasifikasi menurut WHO, apalagi dengan kemajuan zaman yang sangat modern saat ini maka diperlukannya alat yang dapat mempermudah dalam menentukan berat badan yang ideal tanpa harus menghitung secara manual. Tujuan dari penelitian ini untuk mengetahui cara alat ukur tinggi badan dan berat badan dapat bekerja dengan baik. Dengan menggunakan komponen utama yaitu arduino uno, sensor load cell sebagai pengukur berat badan, sensor ultrasonik yang berfungsi sebagai pengukur tinggi badan dan DF Player digunakan untuk menghasilkan output suara. Untuk cara penggunaannya, pengguna terlebih dahulu harus berdiri diatas kaca timbangan untuk mengukur berat dan sensor yang diatas kepala akan membaca tinggi badan dan kemudian ketika semua data telah terinput maka selanjutnya arduino uno akan memproses semua data dan kemudian menampilkannya pada layar LCD yang disertai dengan loudspeaker sebagai output suara yang menyatakan ideal atau tidak idealnya si pengguna.

scholarly journals Application of fuzzy logic for the evaluation of livestock slaughtering

2011 ◽  
Vol 31 (4) ◽  
pp. 813-825 ◽  
Author(s):  
Luís R. A. Gabriel Filho ◽  
Camila P. Cremasco ◽  
Fernando F. Putti ◽  
Marcelo G. M. Chacur
Keyword(s):  
Body Mass Index ◽  
Fuzzy Logic ◽  
Body Mass ◽  
Detection System ◽  
Pearson Correlation ◽  
The Body ◽  
Computational Method ◽  
High Positive Correlation ◽  
Ruminant Animals ◽  
Performance Validation

The fuzzy logic admits infinite intermediate logical values between false and true. With this principle, it developed in this study a system based on fuzzy rules, which indicates the body mass index of ruminant animals in order to obtain the best time to slaughter. The controller developed has as input the variables weight and height, and as output a new body mass index, called Fuzzy Body Mass Index (Fuzzy BMI), which may serve as a detection system at the time of livestock slaughtering, comparing one another by the linguistic variables "Very Low", "Low", "Average ", "High" and "Very High". For demonstrating the use application of this fuzzy system, an analysis was made with 147 Nellore beeves to determine Fuzzy BMI values for each animal and indicate the location of body mass of any herd. The performance validation of the system was based on a statistical analysis using the Pearson correlation coefficient of 0.923, representing a high positive correlation, indicating that the proposed method is appropriate. Thus, this method allows the evaluation of the herd comparing each animal within the group, thus providing a quantitative method of farmer decision. It was concluded that this study established a computational method based on fuzzy logic that mimics part of human reasoning and interprets the body mass index of any bovine species and in any region of the country.

scholarly journals SISTEM PNEGUKURAN INDEKS MASSA TUBUH MENGGUNAKAN SENSOR JARAK INFRA MERAH DAN LOAD CELL

2018 ◽  
Vol 3 (1) ◽  
pp. 43-48
Author(s):  
Vonnete Mieva Mayer Lusi ◽  
Ali Warsito ◽  
Andreas Christian Louk
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Programming Language ◽  
Measurement System ◽  
Fat Body ◽  
Load Cell ◽  
Raspberry Pi ◽  
Thin Body ◽  
High Data ◽  
Arduino Uno

ABSTRAK Telah dirancang suatu sistem pengukuran indeks massa tubuh manusia menggunakan Sensor Jarak Infra Merah tipe  Sharp IR GP2Y0A02YK0F, Load Cell 200 kg, Arduino Uno,Raspberry PI 3,HX711, Display HDMI dan komponen-komponen pendukung elektronika lainnya. Dalam penelitian ini Arduino Uno yang berfungsi sebagai pusat instruksi menggunakan mikrokontrol ATMega 328 digunakan untuk mengolah data pengukuran tinggi dan massa tubuh yang diperoleh dari sensor Sharp IR GP2Y0A02YK0F dan Load Cell. Sistem pengukuran ini dikontro,l menggunakan bahasa pemrograman arduino. Setelah arduino uno mendapatkan data tinggi dan massa tubuh, data tersebut dikirimkan ke  raspberry  pi 3 untuk menghitung nilai indeks massa tubuh (IMT) dan penentuan kategori tubuh menggunakan bahasa pemrograman lazarus. Jika nilai IMT >17,0  memiliki kategori tubuh “sangat kurus”, nilai IMT antara 17,0 – 18,4 memiliki kategori tubuh “kurus”, nilai IMT anatar 18,5 – 25,0 memiliki kategori tubuh “normal”, nilai IMT antara 25,1 – 27,0 memiliki kategori tubuh “gemuk”, dan nilai IMT  > 27,0 memiliki kategori tubuh “sangat gemuk”. Raspberry pi 3 ini juga sudah dilengkapi dengan support HDMI oleh karena itu  semua data tinggi, massa, IMT dan kategori tubuh  yang diperoleh ini akan di tampilkan pada Monitor HDMI sebagai outputnya. Kata Kunci :  IMT, IR GP2Y0A02YK0F ,Load Cell, Arduino, Raspberry, HX711, HDMI. ABSTRACT A human body mass index measurement system has been developed by using IR sharp distance infrared cencorG P2Y0A02YK0F,200 kg Load Cell, Arduino Uno,Raspberry PI 3,HX711, HDMI display and the other electronic components. In this research Arduino Uno has a purpose as the instruction center with AT Mega 328 microcontroller is used to prosess high measurement data and body mass obtained from cencor Sharp IR GP2Y0A02YK0F dan Load Cell. This measurement system is controlled by the Arduino programming language. After Arduino Uno get a high data and body mass, the data is sent to raspberry  pi 3 to calculate body mass index value ( BMI ) and the body category determination using lazarus programming language. If the BMI value < 17,0 classified as “very thin” body category, the BMI value between 17,0 – 18,4 has the category of “ thin body “, the value of intermediate BMI 18,5 – 25,0 has the “ normal body “ category, BMI value between 25,1 – 27,0 has a “ fat body “ category, and a BMI value >27,0 has a “ very fat body “ category. Raspberry pi 3 is also aquipped with HDMI support, hence all high data mass, BMI and body category will be displayed on HDMI monitor as its output. Keyword :BMI, IR GP2Y0A02YK0F ,Load Cell, Arduino, Raspberry, HX711, HDMI.

scholarly journals RANCANG BANGUN ALAT PENGHITUNG INDEKS MASSA TUBUH

2014 ◽  
Vol 14 (2) ◽  
pp. 118
Author(s):  
Yeter Taalongonan ◽  
Hesky S. Kolibu ◽  
Benny M. Lumi
Keyword(s):  
Body Mass Index ◽  
Renewable Energy ◽  
Body Mass ◽  
Natural Sciences ◽  
Ultrasonic Sensor ◽  
Load Cell ◽  
The Body ◽  
Cell Design ◽  
Physics Department

ABSTRAK Telah dilakuan penelitian mengenaiperancangandanpembuatan alat penghitung indeks massa tubuh di Laboratorium Instrumentasi Dan Energi Terbarukan Jurusan Fisika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sam Ratulangi Manado. Perancangan dilakukan dengan menggunakan sensor ultrasonik sebagai pengukur tinggi badan dan timbangan digital sebagai pengukur berat badan yang merupakan variabel-variabel dalam  penentuan nilai indeks massa tubuh. Alat ini bekerja ketika objek berdiri di atas timbangan digital yang telah dimodifikasi dan di bawah sensor ping dengan sudut 0º. Setelah objek terdeteksi oleh kedua sensor, sinyal akan diproses oleh mikrokontroler lalu diinput ke smart I/O khusus untuk sensor PING,. Keluaran dari timbangan digital langsung diteruskan ke smart I/O. Sinyal dari kedua sensor akan diteruskan ke PC untuk diproses dan ditampilkan pada layar komputer berupa nilai indeks massa tubuhnya. Kategori indeks massa tubuh diinformasikan dalam bentuk suara. Kata kunci: indeks massa tubuh, sensor ultrasonik, load cell   DESIGN AND BUILD OF BODY MASS INDEX CALCULATOR ABSTRACT A research has been done about designing and building an instrument that can calculate the Body Mass Index at Instrumentation and Renewable Energy Laboratory in Physics Department on Faculty of Mathematics and Natural Sciences, University of Sam Ratulangi, Manado. The design carried out using ultrasonic sensor as height measurer and digital weigher which are the variables in determining Body Mass Index. This instrument works when an object stand on digital weigher that have been  modified and below the sensor at angle of 0º. After the object detected by both sensors, the sginal will be proceesed by microcontroller, then inputed to a specific USB-smart for PING sensor. The output of digital weigher directly forwarded to USB-smart. Signal from both sensor will be forwarded to the PC to be processed and displayed on computer’s screen in form of the value of body mass index. The category of body mass index informed through voice. Keywords: body mass index, ultrasonic sensor, load cell

scholarly journals Rancang Bangun Alat Ukur Tinggi dan Berat Badan Ideal Berdasarkan Metode Brocha Berbasis Mikrokontroler

2018 ◽  
Vol 2 (02) ◽  
pp. 76-84
Author(s):  
Luthfan Maulana ◽  
Dodon Yendri
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Mass Measurement ◽  
Health Condition ◽  
Ultrasonic Sensor ◽  
Load Cell ◽  
Visual Condition ◽  
Height Measurement ◽  
Ideal Body ◽  
The Ideal

Body’s height and mass measurement usually are measured with a different instrument without a knowledge to know the ideal body mass index (BMI). Ideal BMI is related to our health condition especially for people who do exercise. Usually people just guess the BMI from a visual condition that sometime give a false measurement. This paper proposes a device that can measured ideal BMI based on Brocha method based on microcontroller. The body’s height will be measured using ultrasonic sensor while the body’s mass will be measured with a load cell. The results show that the proposed device can predict the BMI well. The height measurement has a successful rate of 80%.

191: Does the Body Mass Index Affect the Outcome Following Reconstruction of Orthotopic Neobladder?

2007 ◽  
Vol 177 (4S) ◽  
pp. 64-64
Author(s):  
Murugesan Manoharan ◽  
Martha A. Reyes ◽  
Alan M. Nieder ◽  
Bruce R. Kava ◽  
MarkS Soloway
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
The Body ◽  
Orthotopic Neobladder

EFFECT OF BODY MASS INDEX ON PEAK EXPIRATORY FLOW RATE

2019 ◽  
Vol 3 (9) ◽  
Author(s):  
K. Subramanyam ◽  
Dr. P. Subhash Babu
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Peak Expiratory Flow ◽  
Flow Rate ◽  
Peak Expiratory Flow Rate ◽  
Normal Weight ◽  
The Body ◽  
Health Care Centre ◽  
Expiratory Flow ◽  
Group B

Obesity has become one of the major health issues in India. WHO defines obesity as “A condition with excessive fat accumulation in the body to the extent that the health and wellbeing are adversely affected”. Obesity results from a complex interaction of genetic, behavioral, environmental and socioeconomic factors causing an imbalance in energy production and expenditure. Peak expiratory flow rate is the maximum rate of airflow that can be generated during forced expiratory manoeuvre starting from total lung capacity. The simplicity of the method is its main advantage. It is measured by using a standard Wright Peak Flow Meter or mini Wright Meter. The aim of the study is to see the effect of body mass index on Peak Expiratory Flow Rate values in young adults. The place of a study was done tertiary health care centre, in India for the period of 6 months. Study was performed on 80 subjects age group 20 -30 years, categorised as normal weight BMI =18.5 -24.99 kg/m2 and overweight BMI =25-29.99 kg/m2. There were 40 normal weight BMI (Group A) and 40 over weight BMI (Group B). BMI affects PEFR. Increase in BMI decreases PEFR. Early identification of risk individuals prior to the onset of disease is imperative in our developing country. Keywords: BMI, PEFR.

Visual body processing’s associations to Body Mass Index and internalization of societal beauty ideals

2020 ◽  
Author(s):  
Valentina Cazzato ◽  
Elizabeth Walters ◽  
Cosimo Urgesi
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Visual Processing ◽  
The Body ◽  
Configural Processing ◽  
Cultural Ideals ◽  
Beauty Ideals ◽  
Female Bodies ◽  
Processing Mechanisms ◽  
Attention To Detail

We examined whether visual processing mechanisms of the body of conspecifics are different in women and men and whether these rely on westernised socio-cultural ideals and body image concerns. Twenty-four women and 24 men performed a visual discrimination task of upright or inverted images of female or male bodies and faces (Experiment 1) and objects (Experiment 2). In Experiment 1, both groups of women and men showed comparable abilities in the discrimination of upright and inverted bodies and faces. However, the genders of the human stimuli yielded different effects on participants’ performance, so that male bodies and female faces appeared to be processed less configurally than female bodies and male faces, respectively. Interestingly, altered configural processing for male bodies was significantly predicted by participants’ Body Mass Index (BMI) and their level of internalization of muscularity. Our findings suggest that configural visual processing of bodies and faces in women and men may be linked to a selective attention to detail needed for discriminating salient physical (perhaps sexual) cues of conspecifics. Importantly, BMI and muscularity internalization of beauty ideals may also play a crucial role in this mechanism.

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