Portable spirometer using pressure-volume method with Bluetooth integration to Android smartphone

Widianto, Eko Didik; Huda, Gayuh Nurul; Nurhayati, Oky Dwi

doi:10.11591/ijece.v13i4.pp3977-3986

Cited by 3 publications

(1 citation statement)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research focuses on security aspects in the context of using fingerprint sensors and smartphones to control home door locking. Through the use of this technology, data will be sent wirelessly via the HC-05 Bluetooth module to smartphone applications designed using the MIT App Inventor platform [30]- [38]. The process of recognizing and extracting fingerprint data for the smart door lock device being developed can be seen in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Fingerprint based smart door lock system using Arduino and smartphone application

Sutikno,

Faqih Ubaidillah,

Arsadiando

et al. 2024

Comput. Sci. Inf. Technol.

View full text Add to dashboard Cite

In 2023, crime cases in Indonesia reached 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.

show abstract

Section: Methodsmentioning

confidence: 99%

Fingerprint based smart door lock system using Arduino and smartphone application

Sutikno,

Faqih Ubaidillah,

Arsadiando

et al. 2024

Comput. Sci. Inf. Technol.

View full text Add to dashboard Cite

show abstract

Fingerprint based smart door lock system using Arduino and smartphone application

Sutikno,

Ubaidillah,

Arsadiando

et al. 2024

Comput Sci Inf Technol

View full text Add to dashboard Cite

In 2023, crime cases in Indonesia will reach 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.

show abstract

Computational Spirometer Using Arduino Nano Application

Kanna,

Raja,

Keerthana

et al. 2024

Advances in Bioinformatics and Biomedical Engineering

View full text Add to dashboard Cite

Spirometer is a pulmonary function test that assesses the strength of our lungs to measure the maximum amount of air that is breathed in and out. During physical therapy, spirometers are frequently employed to evaluate lung capacity and chest responsiveness. Yet, the majority of spirometers accessible in the market are both digital and come with a high cost. which cannot be affordable for a large population. A portable spirometer prototype designed for measuring lung volume and air flow rate can also serve to monitor a patient's health progress, particularly post-recovery from respiratory ailments. such as COVID, asthma, etc. The COVID-19 pandemic has taken a massive toll on medical infrastructure, and this was especially true at the inception of this project. The proposed spirometer in this work is based on Arduino NANO and is It proves particularly valuable for individuals recovering from COVID-19 to evaluate their lung efficiency in the comfort of their own homes.

show abstract

Portable spirometer using pressure-volume method with Bluetooth integration to Android smartphone

Cited by 3 publications

References 36 publications

Fingerprint based smart door lock system using Arduino and smartphone application

Fingerprint based smart door lock system using Arduino and smartphone application

Fingerprint based smart door lock system using Arduino and smartphone application

Computational Spirometer Using Arduino Nano Application

Contact Info

Product

Resources

About