Journal of Sensor and Actuator Networks (Oct 2022)

Development of a Multisensor-Based Non-Contact Anthropometric System for Early Stunting Detection

  • Umiatin Umiatin,
  • Widyaningrum Indrasari,
  • Taryudi Taryudi,
  • Abdul Fatah Dendi

DOI
https://doi.org/10.3390/jsan11040069
Journal volume & issue
Vol. 11, no. 4
p. 69

Abstract

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The stunting prevalence in Indonesia is still above the WHO minimum standard of 20%. An important aspect of early detection of stunting is to monitor the nutritional status of children under five periodically. In daily practice, nutritional status is obtained through anthropometry. The main anthropometric parameters are body mass, height, and head circumference. This research entails the development of an integrated and non-contact anthropometric system for measuring body mass, height, and head circumference for children aged 12–60 months. This non-contact method can prevent the transmission of infectious diseases, especially during the COVID-19 pandemic. For the development of a prototype, three types of sensors are used: load, proximity, and temperature sensor. In addition, a load cell sensor is used to measure body mass, an infrared sensor to measure height and head circumference, ultrasonic sensor to measure height. In addition, the anthropometric system developed is equipped with an MLX90614-DCI sensor to measure temperature, a thermal printer to print measurement results, and sound output. The results of the tests showed that this anthropometric system had an average error less than 5%. Therefore, it is suitable to measure the body mass, height, and head circumference of children under five.

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