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Fall Detection in the Elderly With Android Mobile IoT Devices Using Nodemcu And Accelerometer Sensors

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dc.contributor.author Sudirman, Sudirman
dc.contributor.author Zainuddin, Zahir
dc.contributor.author Suyuti, Ansar
dc.date.accessioned 2022-05-18T07:35:16Z
dc.date.available 2022-05-18T07:35:16Z
dc.date.issued 2021
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/805
dc.description.abstract One of the causes of falls in the elderly can have serious consequences, such as injuries and can even increase the risk of death. Assistance can be provided more quickly if a fall condition can be detected immediately. For that reason, the author will make a tool to detect falls in the elderly that are formed on the belt. using a belt as a medium because the belt is a human need that cannot be separated from fashion. The tool consists of SIM808 GPS, Node MCU, Accelerometer Sensor, Buzzer and an android-based cellular. The control center is the Node MCU which is equipped with a 6-axis IMU to detect the movement of the user. And it is also equipped with a SIM808 GPS Module to transmit location and condition data from its users. The GPS data is sent to Android, the Android is used to receive the location of the fall on the user. The tool can detect several falling conditions that can be sent to android. The delivery process uses the internet. The algorithm to detect falling motion uses a threshold-based fall-detection algorithm. Design and Modeling starts from the Hardware Design, where the design has a Node MCU as a control center that has input and output. Node MCU inputs are Accelerometer sensors, SIM808 GPS Shield. Where the accelerometer is used for fall detection, then SIM808 GPS Shield is for location determination and internet signals. The accelerometer sensor will produce input in the form of angle and speed which will later be processed so as to get one output for the user's condition. The output on the Node MCU is the buzzer and sending data to the Web Server. The workings of the system start at the Node MCU which reads the accelerometer sensor. When the accelerometer has passed the Threshold limit, the Node MCU will detect that there is a fall condition for the user. Node MCU will automatically activate the buzzer and send data to the thing speak web server. Connecting between hardware and android mobile where the hardware will be connected to the internet for the process of sending data. The data transmission is sent through the Web Server. en_US
dc.title Fall Detection in the Elderly With Android Mobile IoT Devices Using Nodemcu And Accelerometer Sensors en_US
dc.type Article en_US


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  • Jurnal
    Merupakan Kumpulan Jurnal Dosen dan Peneliti Universitas Bosowa

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