Monitoring Walking Devices For Calorie Balance In Patients With Medical Rehabilitation Needs

Kusuma, Wahyu Andhyka; Sari, Zamah; Wibowo, Hardianto; Norhabibah, Siti; Ubay, Sabrina Nurul; Fitriani, Diah Ayu

doi:10.1109/eecsi.2018.8752761

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…Disadvantages of not developing an application-based application system, and an internet of things system based on car devices with sensor features that are not widely used. (Kusuma et al, 2018) Monitoring walking devices for calorie balance in patients with medical rehabilitation needs Application for monitoring medical rehabilitation needs, using a micro-controller device using Arduino Wemos, MPU 6050.…”

Section: Literature Reviewmentioning

confidence: 99%

Fall Detection using Sensors on a Smartphone

Priswanto

Haryono

2022

SinkrOn

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A work accident on a technician causes injury. When doing work, even though the technician is equipped with work safety, there are still factors that can cause accidents intentionally or unintentionally. The development of technology is now more advanced. Now the industrial revolution has reached the era of 4.0. Its progress is accompanied by information technology that is growing very rapidly. Many internets of things devices can already be used in everyday life. In today's life, the use of IoT devices has become a habit of today's modern society. For example, to travel using public transportation, there are many mobile apps that are connected to transportation providers. Including trade, the number of marketplaces has caused the growth of smartphones to be very fast. Smartphones are now equipped with many sensors, ranging from GPS sensors, wi-fi sensors, temperature sensors, and various sensors. Often the technicians in charge of climbing towers or heights are never caught by management or project leaders. Even though this causes losses both losses for technicians and losses for management. Therefore, how to monitor the technicians to be careful in carrying out their duties. Android smartphone devices have many sensors. Sensors in Android are used as a fall detection tool. By using Android sensors, the use of Internet of Thing sensors on smartphones will produce very useful monitoring tools. The use of Flutter framework as a medium for utilizing the accelerometer sensor and gyroscope sensor as a fall detection tool. This study aims to create a prototype of a fall detection application system.

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Section: Literature Reviewmentioning

confidence: 99%

Fall Detection using Sensors on a Smartphone

Priswanto

Haryono

2022

SinkrOn

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“…The United States customary units declare that the standardized unit of each human step is naturally calculated from the tip of the foot that is in front of the end of the previous leg. The size of the footsteps alone was on average 78 cm or it was assumed that a human step was 0,78 m long [7]. So, the formula for determining distance was as follows on Equation 3.…”

Section: Determine the Total Jogging Distancementioning

confidence: 99%

“…In a previous study, most cellular-based solutions for dealing with management fall only with accelerometer data [6]. An accelerometer sensor is used by placing a sensor on one of the patient's legs to determine the number of calories that will burn for medical rehabilitation patients [7]. In addition, the detection of steps on android smartphones using the accelerometer sensor was still limited by the Dead Reckoning method and could not yet display the intake of lost calorie substitutes [8].…”

Section: Introductionmentioning

confidence: 99%

The Calorie Burning Calculation System in Jogging Using a Thresholding-Based Accelerometer Sensor

Okmayura

Jefiza

Ramadhani

2020

KINETIK

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Jogging has benefits for burning calories as well as for losing the weight of the body. However, the reality that often happens is that sportsmen overwork their body in exercising so that it has passed its normal threshold. This causes over or lower calorie burning in these athletes. To overcome these problems, we need a device that can later monitor calorie burning. This device is created on an Android-based platform using an accelerometer sensor. Using this sensor, the system can count the number of a person’s steps previously obtained through the threshold value as the threshold value to determine the steps. Calculation of calorie burning uses a formula that involves the number of footsteps, time, and weight of the user. This application testing involved 15 participants by comparing the calorie burning results through the application and manual calculation, so that the overall error percentage of 0.60% was obtained, so it can be concluded that 99.40% of the calorie burning calculation system in jogging using a thresholding-based accelerometer sensor is appropriate for athletes to provide information of their calories burning in jogging.

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“…Due to its wide application in human behavior, living assistance, home applied, security, medical, rehabilitation, and wider to smart cities, and transportation topics. From previous research on the medical, and rehabilitation topic has improved health status for diabetic patient, elderly monitoring, noncommunicable disease (NCD), calories [1], [2] and fall detection [3], human behavior [4]. Daily activity recognition requires a robust technique that can be used under free daily motion, for example, recognition of fall detection, especially in elderly fall detection.…”

Section: Introductionmentioning

confidence: 99%

Single Triaxial Accelerometer-Gyroscope Classification for Human Activity Recognition

Minarno

Kusuma

Wibowo

et al. 2020

2020 8th International Conference on Information and Communication Technology (ICoICT)

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Evaluated activity as a detail of the human physical movement has become a leading subject for researchers. Activity recognition application is utilized in several areas, such as living, health, game, medical, rehabilitation, and other smart home system applications. For recognizing the activity, the accelerometer was popular sensors. As well as a gyroscope, in addition to dimension, low computation, and can be embedded in a smartphone. Used smartphone with an accelerometer as a popular solution for recognized daily activity. Signal was generated from the accelerometer as a time-series data is an actual approach like a human activity pattern. Traditional machine learning method in mid of the modern method worth it considering. Single position triaxial accelerometer-gyroscope Motion data have acquired in an of 30 volunteers.

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Monitoring Walking Devices For Calorie Balance In Patients With Medical Rehabilitation Needs

Cited by 8 publications

References 15 publications

Fall Detection using Sensors on a Smartphone

Fall Detection using Sensors on a Smartphone

The Calorie Burning Calculation System in Jogging Using a Thresholding-Based Accelerometer Sensor

Single Triaxial Accelerometer-Gyroscope Classification for Human Activity Recognition

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