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RFID Supporting IoT in Health and Well-Being Applications
Published in Yallup Kevin, Basiricò Laura, Iniewski Kris, Sensors for Diagnostics and Monitoring, 2018
Sari Merilampi, Johanna Virkki, Nuno Pombo, Nuno Garcia
The next few decades are expected to see an increasingly large number of elderly people in the most advanced societies, such as those in Europe, Oceania, and North America [40]. As an ever higher percentage of the elderly are living alone, it challenges families in terms of emergencies that may lead to morbidity or eventually to death. Nevertheless, for every emergency situation requiring a faster and more proficient approach, the existing solutions are merely based on wrist bracelets, emergency calls, or pendant devices with an emergency button. In addition, these solutions are dependent on the individual, which raises several limitations. On the one hand, they require the individual to be conscious—in order to press the emergency button, for example. On the other hand, they are dependent on a successful remote phone call and/or text message. In line with this, there are promising fully automated solutions that are able to recognize either human behavior or health conditions and to contact the emergency services whenever needed. Thus, the proposed solution encompasses an high-tech bracelet capable of collecting vital signs and recognizing daily human activities, aimed at providing a fully automated health monitoring and emergency system. This universal device is designed to support individuals living alone or being remotely tracked due to, for example, a chronic disease. The intelligent bracelet has an RFID reader, thus being capable to detect false positive situations. For example, if the individual suddenly sits down, it may causes a similar G-force to falling on the floor, therefore triggering an emergency. Thus, to disable the alarm, the individual just needs to put his or her bracelet within reachable distance of the RFID reader. The implementation scheme uses an Arduino board and a USB RFID reader (Figure 10.2).
Making art from self-tracking cycling data
Published in Digital Creativity, 2018
There is an important point of connection to be made here between this type of art making and that of the 21st-century notion of the Quantified Self. Emerging from the proliferation of smart phones and personal computing, the Quantified Self movement has pioneered the idea that we can use these devices to gather data about our activities and ourselves and use them to reflect upon who we are and who we want to be (Wolf 2009). Of particular importance is a set of devices called personal fitness trackers. These devices, a combination of smart phone apps and physical wrist-worn bracelets, gather data about our daily movements, levels of activity, heart rate and sleep, as well as dietary habits and alcohol consumption to name but few. Driven by a ‘Well being’ agenda that aims to help individuals lose weight, change shape and achieve healthier life styles, these devices are having a huge impact on society at the moment.