Wireless Connected Smart Microsystems

doi:10.18494/sam.2018.1765

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…(6) The potential benefits of smart home systems include healthcare, energy management, sustainability, convenience, and comfort. (7)(8)(9) To realize remote care application services for the elderly, smart sensing devices can be connected through smart phones or other networks, allowing users to remotely monitor the smart home equipment and the current status (10) or to check the activities or health status of the elderly at any time.…”

Section: Introductionmentioning

confidence: 99%

“…Research studies on healthcare state that elderly healthcare has become an important application of IoT. IoT can remotely monitor the activities or physical conditions of the elderly (6,10) and collect their vital signs through wearable or nonwearable smart devices. (13)(14)(15) IoT technology has become useful for smart healthcare to collect data and further disseminate, store, and share medical care data.…”

Section: Introductionmentioning

confidence: 99%

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Application for Detecting Falls for Elderly Persons through Internet of Things Combined with Pulse Sensor

Hu,

Chang,

Chang

2023

Sensors and Materials

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The World Health Organization predicts that, by 2050, 400 million people will be aged 80 years or more. In Japan and Taiwan, many elderly persons have health problems but live alone and require long-term medical care. Living and caring for the elderly persons at home is a critical issue that governments in many countries need to pay attention to. The most common safety incident for elderly persons at home is falling. Previous research groups have used video cameras to monitor falls in elderly persons. The use of cameras may cause privacy intrusions, for example if the person being monitored is in the bathroom or toilet. In this study, we used IoT technology to monitor the heart rate data of an elderly person on a smart phone and issue a fall notification when the elderly person is at home. We installed the pulse detection sensor inside the shoe, obtained the heart rate data from the toes, and uploaded these data to a cloud storage space. If an elderly person falls and an abnormal heart rate is detected at the same time, the system will send a warning message to the caregiver or family member through LINE Notify. Caregivers or family members can check the heart rate status of the elderly at home at any time through a mobile application after receiving the notification. Through this study, we effectively improved the function of smart care (e-Health) through the fall warning notification and heart rate monitoring for elderly persons.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application for Detecting Falls for Elderly Persons through Internet of Things Combined with Pulse Sensor

Hu,

Chang,

Chang

2023

Sensors and Materials

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show abstract

“…Thus, there is a consensus among the information and communication technology (ICT) industries that the IoT will be the greatest development in the industry in the next decade. (1,2) The main goal of IoT technology is to realize intelligent applications and provide smarter approaches for industrial operation, and it has also been developed and applied in our daily lives and activities around our homes. (3) From the perspective of technology standardization, the IoT can be considered as the world's global information infrastructure, providing innovative services through ICT.…”

Section: Introductionmentioning

confidence: 99%

“…(4) Smart homes are implemented using IoT sensors through the following four steps. (1) 1. An intelligent device controls sensors and actuators that interpret and execute program instructions and perform arithmetic operations via a microprocessor.…”

Section: Introductionmentioning

confidence: 99%

Integrating Face Recognition and IoT Sensors to Realize Smart Application of Health Monitoring at Home

Chueh¹,

Hu²,

Chang³

et al. 2022

Sensors and Materials

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In this study, we construct a smart home health monitoring application using IoT sensing devices, a Wi-Fi network, and face recognition technologies. The daily activity data of elderly people around their homes can be collected by sensors and transmitted to Google spreadsheets via the IFTTT service platform by using the IEEE 802.11 protocol. Caregivers can use the application (app) developed in this study to monitor the visual data from the mobile network to inquire about the daily activity data of elderly people. Furthermore, it allows real-time monitoring to distinguish whether elderly people with health problems are meeting daily basic activity conditions. On the basis of the IoT architecture model, we develop programs within the sensing, network, and application layers. The sensing layer can use webcams to actively recognize the faces of elderly people and collect their activity data, the network layer program uploads data to the cloud via a Wi-Fi network, and the application layer displays long-term activity data for elderly people around their homes through the mobile network. The application layer of the app provides caregivers with an understanding of the activity status of elderly people through visual charts. The system implemented in this study can be further applied to smart care services for elderly people at home in the future. The services include fall detection and reporting when elderly people walk and also the heart rate monitoring of home residents through the app interface, thus realizing more intelligent care applications.

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Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment

Gupta,

Gaurav,

Chui

et al. 2024

Lecture Notes in Computer Science

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Wireless Connected Smart Microsystems

Cited by 3 publications

References 5 publications

Application for Detecting Falls for Elderly Persons through Internet of Things Combined with Pulse Sensor

Application for Detecting Falls for Elderly Persons through Internet of Things Combined with Pulse Sensor

Integrating Face Recognition and IoT Sensors to Realize Smart Application of Health Monitoring at Home

Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment

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