A Generic NFC-enabled Measurement System for Remote Monitoring and Control of Client-side Equipment

Opperman, Charl A.; Hancke, Gerhard P.

doi:10.1109/nfc.2011.11

Cited by 33 publications

(9 citation statements)

References 5 publications

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“…In addition to the Kinect devices, other sensing devices such as NFC readers may be installed at fixed locations for performing specific localization functions [33]. For example, an NFC reader may be installed at a specific location on the dining table to read the NFC tag labelled on the medicine box to check when the patient picks up the medicine box for taking medicines.…”

Section: System Layout and System Componentsmentioning

confidence: 99%

Activity tracking and monitoring of patients with alzheimer’s disease

Lam

Tsang

Han

et al. 2015

Multimed Tools Appl

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In this paper, by applying motion detection and machine learning technologies, we have designed and developed an activity tracking and monitoring system, called SmartMind, to help Alzheimer's Disease (AD) patients to live independently within their living rooms while providing emergency assistances and supports when necessary. Allowing AD patients to handle their daily activities not only can release the burdens on their families and caregivers, it is also highly important to help them regain confidence towards a healthy life. The daily activities of a patient captured from SmartMind can also serve as an important indicator to describe his/her normal living habit (NLH). By checking NLH, the patient's current health status can be estimated on a daily basis. In the testing experiments of SmartMind, we have demonstrated the accuracy of SmartMind in activity detection and investigated its A preliminary version of the paper is appearred in Multimed Tools Appl performance when different machine learning algorithms were adopted for posture detection. The performance results indicate that both support vector machine (SVM) and naive bayes (NB) can achieve an accuracy of higher than 97 % while the random forrests (RF) only gives an accuracy of around 73 %.

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Section: System Layout and System Componentsmentioning

confidence: 99%

Activity tracking and monitoring of patients with alzheimer’s disease

Lam

Tsang

Han

et al. 2015

Multimed Tools Appl

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“…In addition to the Kinect devices, other sensing devices such as NFC readers may be installed at fixed locations for performing specific localization functions [17]. For example, an NFC reader may be installed on the dining table to read the NFC tag associated with the medicine box to check when the patient picks up the medicines for taking.…”

Section: Fig 1 Depicts a Typical Living Room For An Elderly In Hongmentioning

confidence: 99%

SmartMind: Activity Tracking and Monitoring for Patients with Alzheimer's Disease

Lam

Tsang

Han

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications

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In this paper, we introduce SmartMind, an activity tracking and monitoring system to help Alzheimer's diseases (AD) patients to live independently within their living rooms while providing emergent help and support when necessary. Allowing AD patients to handle their daily activities not only can release some of the burdens on their families and caregivers, but also is highly important to help them regain confidence towards a healthy life and reduce the degeneration rates of their memories. The daily activities of a patient captured from SmartMind can also serve as important indicators to describe his/her normal living habit (NLH). By checking with NLH, the patient's current health status can be estimated on a daily basis.

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“…Existing sensors, PLCs and other similar devices can be fitted with an NFC interface in a noninvasive fashion, as described in [8]. Such an interface can make intelligent decisions on when to read and store data, and control commands can be given to the interface using a mobile phone.…”

Section: Nfc Capable Equipmentmentioning

confidence: 99%

“…Using the software development kit (SDK) provided by Android, it is possible to develop NFC applications for the phone to connect to NFC-enabled devices such as those described in section 2. These NFC devices, if operating in passive mode, may emulate existing RFID tags as was done in [8]. The phone may then detect the device as a normal passive RFID tag and communicate accordingly.…”

Section: Nfc Mobile Initiatormentioning

confidence: 99%

Using NFC-enabled phones for remote data acquisition and digital control

Opperman

Hancke

2011

IEEE Africon '11

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An approach is discussed to connect stand-alone devices to wireless services by adding Near Field Communication (NFC) capability to such devices. Research has shown that simple NFC interfaces can be built for the specific purpose of connecting to existing equipment that require regular monitoring or digital control. This fact can be exploited to enable wireless monitoring and control of both mobile and immobile equipment, using an NFC-enabled phone as a gateway between a back-end terminal and NFC-enabled equipment. Various wireless protocols for the back-end connection are discussed and compared, as well as a brief look at the current state of NFC phones in the industry. The approach discussed in this paper proves to be a viable alternative in terms of the time it saves in comparison with manual methods of data acquisition and digital system control, whilst being a very simple and inexpensive solution. Such an approach is especially advantageous in systems where monitored equipment need to be mobile and where power consumption is an important consideration.

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A Generic NFC-enabled Measurement System for Remote Monitoring and Control of Client-side Equipment

Cited by 33 publications

References 5 publications

Activity tracking and monitoring of patients with alzheimer’s disease

Activity tracking and monitoring of patients with alzheimer’s disease

SmartMind: Activity Tracking and Monitoring for Patients with Alzheimer's Disease

Using NFC-enabled phones for remote data acquisition and digital control

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