An Internet-of-Things-based Sensing Rural Medical Care System

Tu, Yu–Kang; Deng, Yong-Yuan; Lee, Chin‐Feng; Zhu, Shengqi; Chiu, Yi-Jui; Wu, Chih-I

doi:10.18494/sam.2019.2227

Cited by 5 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The term "Smart Sensors", one of the most strategic devices of Micro System Technologies (MST), refers to sensors that contain both sensing and signal processing capabilities with objectives ranging from simple viewing to sophisticated remote sensing, surveillance, search/track, weapon guidance, robotics, perceptron and intelligence applications [7]. Many services and applications integrating these technologies into daily life have come to form an Internet of Things (IoT) [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Internet of Things in a Kitchen Fire Prevention System

et al. 2019

View full text Add to dashboard Cite

When using a gas stove to cook, the food or oil in the pot or pan may catch fire because of an excessively high temperature. In addition, people may be uncertain as to whether they have turned off the gas stove before leaving home and therefore feel compelled to return home to check. To solve these problems, this study has developed a smart kitchen fire prevention system that possesses the following devices and functions. (1) Sensors are installed above the stove top. When they detect flames, high temperature, or a gas leak, they immediately activate the gas shutoff device to turn off the gas supply. (2) The alarm produces a loud sound and flashes to warn the residents. (3) The Line reporting system sends Line messages to notify the residents and the community management center, and the main entrance door is automatically unlocked to allow relevant personnel to enter the house to deal with the accident. (4) An Internet protocol camera is installed in the kitchen to enable the residents to monitor the gas stove on their mobile phones. If they find the gas stove is still turned on, they can activate the gas shutoff device to shut off the gas supply from their phones. The system developed in this study can effectively reduce the loss that results from a kitchen fire.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Application of Internet of Things in a Kitchen Fire Prevention System

et al. 2019

View full text Add to dashboard Cite

show abstract

“…In response to health care requirements, local governments have been using IoT and sensor technology in resident healthcare management. (3) CO poisoning caused by natural gas water heaters is a common household accident. In a preliminary study conducted by Chen et al, a smart gateway Wi-Fi alarm system and IoT notifications on mobile devices reduced CO poisoning incidents.…”

Section: Research Motivation and Objectivesmentioning

confidence: 99%

Application of IoT in the Prevention of Carbon Monoxide Poisoning

Hsu¹,

Ho²,

Liang³

et al. 2019

Sensors and Materials

View full text Add to dashboard Cite

Because carbon monoxide (CO) is a colorless and odorless gas, symptoms of CO poisoning are difficult to recognize, making CO a hidden killer in home environments. To prevent CO poisoning, we used artificial intelligence and Internet of Things (IoT) technology to develop a CO poisoning prevention system with the following functional features: (1) a CO sensor, which was installed in the bathroom at home and immediately activated to warn the household when the CO concentration was excessively high; (2) an electric window opener and a fan, which when activated performed forced ventilation and thereby reduced CO concentration; (3) a device that cut off the gas supply; (4) a Line application that notified family members and signaled the community management center to conduct emergency rescue operations; and (5) a mechanism for unlocking the door to allow people to enter for emergency rescue. The obtained results may help reduce the number of CO poisoning cases and casualties in the winter in Taiwan.

show abstract