Design and development of wearable device using bluetooth low energy

Mandanka, Krishna; Mistry, S.; Tank, Bharat

doi:10.1109/iccmc.2017.8282569

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…All board controllers used in this study are NodeMCU ESP32. The ESP32 is an SoC equipped with various features, such as Wi-Fi (2.4GHz band), Bluetooth, dual-core with two 32-bit Tensilica Xtensa LX6 microprocessors, and multi peripherals (Mandanka, K. et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

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Smart Cluster Housing Monitoring with ESP32, ESP-Mesh and Django

Wicaksono

Rahmatya

2021

JER is an international, peer-reviewed journal that publishes f

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The purpose of this study is to create a monitoring system for cluster housing. The method used in this research was experimental. Monitoring carried out in this system was installed and tested on ten houses. This system used an ESP-MESH for communication between ESP32 boards in residential areas. The process of sending data to the online server used two ESP32 boards that function as a mesh server and a gateway for data transmission. The data sent is in the form of data from ultrasonic sensors, PIR1 and PIR2 sensors, Flame sensors, Gas sensors, and Photos. The photo result was taking by ESP32CAM when the system detects an intruder. When something bad happens, such as fire detection, intruders, and gas leaks, residents will receive text and image notifications through the LINE application. The head of security will also get notifications via the web application. The web application is built using the Django framework. The results of this study are a monitoring system for cluster housing using ESP32, ESP-MESH, and Django. Based on the test results, this system has been running well by the initial objectives.

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Section: Methodsmentioning

confidence: 99%

“…ESP32 CAM is a board built on the ESP32 (Mandanka, K. et al, 2017). The ESP32 CAM board is equipped with an OV2640 camera and a ten-pin GPIO that can be used to connect this board with other peripherals (Priyanka et al, 2020).…”

Section: Esp32mentioning

confidence: 99%

Smart Cluster Housing Monitoring with ESP32, ESP-Mesh and Django

Wicaksono

Rahmatya

2021

JER is an international, peer-reviewed journal that publishes f

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“…When operating the mobile App, there is a specific data transmission function. Sensors on the SGCS collect physiological signs, which are later processed by chip, converting from physical signals into electrical signals, and then these data are transferred to App through Bluetooth [27]. Data at the mobile terminal will be uploaded to a cloud server for storage via network.…”

Section: Mobile Appmentioning

confidence: 99%

Shape memory alloy based smart compression stocking and real-time health monitoring app for deep venous thrombosis

Hua

Liu

Jiang

et al. 2023

Smart Mater. Struct.

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Deep venous thrombosis (DVT) is a severe venous disease with high incidence and mortality rate. Patients suffering from DVT have poor quality of life due to continuous sequela. Prophylaxis is applied on high-risk individuals while clinical researches have demonstrated the efficacy of graduated compression stockings (GCS) in reducing DVT incidence. However, the prophylactic effect of conventional GCS on DVT in daily life doesn’t meet the expectation due to its disadvantages such as low compliance and static pressure. For the purpose of superior prevention, a smart graduated compression stocking (SGCS) based on shape memory alloy (SMA) was designed, prototyped and tested in this research. A related mobile App was designed to modulate dynamic pressure and monitor health conditions such as temperature and pulse during the application of the SGCS. Experimental results showed that the prototype was able to provide clinical-standard pressure (at least 15 mmHg to 21 mmHg), 3 levels of adjustable dynamic pressure and low dressing difficulty while the App guaranteed the real-time physiological signs monitoring of skin temperature and dorsalis pedis artery pulse. 

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“…Mikrokontroler ini mudah digunakan dan diprogram dimana pemrogramannya menggunakan Arduino IDE [4]. Untuk pengambilan gambar digunakan board ESP32 CAM yang sekaligus dapat digunakan sebagai modul WiFi untuk mengirimkan data [5]. Sensor yang digunakan untuk mengukur suhu dan kelembaban masih menggunakan sensor yang sama dengan penelitian yang dilakukan pada penelitian sebelumnya [1], yaitu DHT11 dimana sensor ini memiliki rentang pengukuran suhu ruangan antara 00C-500C [7].…”

Section: Kajian Pustakaunclassified

Implementasi Arduino dan ESP32 CAM untuk Smart Home

Wicaksono

Rahmatya

2020

JATI

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Penelitian ini mendeskripsikan tentang implementasi smart home dengan memanfaatkan Arduino dan ESP32 CAM dengan teknologi IoT. Tujuan dari penelitian ini adalah membuat perangkat untuk mengontrol peralatan rumah dan memonitor keamanan rumah. Pada penelitian ini Arduino digunakan sebagai otak utama dari sistem dimana Arduino akan membaca data dari sensor suhu, sensor PIR serta LDR dan mengontrol aktif tidaknya lamp, kipas serta sensor PIR. Data sensor akan terus dikirim ke server oleh Arduino melalui modul ESP32 CAM. Alat ini juga dapat mengirimkan foto secara otomatis ketika ada gerakan yang terdeteksi. Foto yang diambil secara otomatis akan dikirim ke pemilik rumah melalui aplikasi Line. Proses pengambilan foto, pengaktifan lampu, kipas serta sensor PIR dapat dilakukan juga secara manual melalui antarmuka web oleh pengguna. Pengguna juga dapat melihat data-data dari sensor yang dikirim oleh Arduino melalui antarmuka web yang sudah disediakan. Dari hasil pengujian alat ini sudah berjalan dengan baik dimana data semua sensor terkirim dan dapat tersimpan di database, pengaktifan dan penonaktifan secara manual dapat dilakukan, gambar yang diambil terkirim ke aplikasi Line pengguna dengan presentase keberhasilannya 100%.

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Design and development of wearable device using bluetooth low energy

Cited by 7 publications

References 2 publications

Smart Cluster Housing Monitoring with ESP32, ESP-Mesh and Django

Smart Cluster Housing Monitoring with ESP32, ESP-Mesh and Django

Shape memory alloy based smart compression stocking and real-time health monitoring app for deep venous thrombosis

Implementasi Arduino dan ESP32 CAM untuk Smart Home

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