37,423 research outputs found

    IMPLEMENTATION BLUETOOTH LOW ENERGY ON THE MEDICAL SUPPORTING DEVICE

    Get PDF
    Non-compliance from a patient is a serious problem, with a big consequence in case of health and costs. ECCT B.V. tries to develop some supporting devices expected to help patients to report their compliance. One of these supporting devices is a dispenser. These devices record data about time and other clinically relevant information. The electronic circuit also contains RFID technology, it is possible for Near Field Communication (NFC) enabled mobile telephone or a NFC reader to take the stored data. If we compare Bluetooth with NFC, Bluetooth has an advantage in range, Bluetooth has wider range than NFC. When the dispenser starts using BLE, there is no need for us to make the dispenser close to BLE enabled mobile phone or reader, we can separate it in some distance. The antenna design was done by using CST Microwave Studio 2009, provided by Fontys Hogescholen. In this project, author uses printed Inverted F Antenna as the antenna. Inverted F Antenna has some advantages and also fulfills the requirements for transmitting and receiving data. From the simulation we can find out there is 7 parameters affected on the antenna performance. Length is one of the parameters affected to the antenna resonant frequency. From the measurement result, Bluetooth Low Energy for “Firefly” can reach 10 meters range and can stand for 3 years using coin cell battery. In the future, the “Firefly” should be developed in thinner PCB, 0.5mm PCB thickness, because dispenser requires 0.5 mm PCB thickness for the perfect final product. Keywords: Near Field Communication, Bluetooth Low Energy, and Antenn

    Bluetooth friendly names: bringing classic HCI questions into the mobile space

    Get PDF
    We explore the use of Bluetooth friendly names within the mobile space. Each Bluetooth-enabled device possesses a short string known as a 'friendly name' used to help identify a device to human users. In our analysis, we collected friendly names in use on 9,854 Bluetooth-enabled devices over a 7-month period. These names were then classified and the results analysed. We discovered that a broad range of HCI themes are applicable to the domain of Bluetooth friendly names, including previous work on personalisation, naming strategies and anonymity in computer mediated communication. We also found that Bluetooth is already being used as a platform for social interaction and communication amongst collocated groups and has moved beyond its original intention of file exchange

    Exploring Bluetooth based Mobile Phone Interaction with the Hermes Photo Display

    Get PDF
    One of the most promising possibilities for supporting user interaction with public displays is the use of personal mobile phones. Furthermore, by utilising Bluetooth users should have the capability to interact with displays without incurring personal financial connectivity costs. However, despite the relative maturity of Bluetooth as a standard and its widespread adoption in today’s mobile phones, little exploration seems to have taken place in this area - despite its apparent significant potential. This paper describe the findings of an exploratory study nvolving our Hermes Photo Display which has been extended to enable users with a suitable phone to both send and receive pictures over Bluetooth. We present both the technical challenges of working with Bluetooth and, through our user study, we present initial insights into general user acceptability issues and the potential for such a display to facilitate notions of community

    Validation of a smartphone app to map social networks of proximity

    Full text link
    Social network analysis is a prominent approach to investigate interpersonal relationships. Most studies use self-report data to quantify the connections between participants and construct social networks. In recent years smartphones have been used as an alternative to map networks by assessing the proximity between participants based on Bluetooth and GPS data. While most studies have handed out specially programmed smartphones to study participants, we developed an application for iOS and Android to collect Bluetooth data from participants own smartphones. In this study, we compared the networks estimated with the smartphone app to those obtained from sociometric badges and self-report data. Participants (n=21) installed the app on their phone and wore a sociometric badge during office hours. Proximity data was collected for 4 weeks. A contingency table revealed a significant association between proximity data (rho = 0.17, p<0.0001), but the marginal odds were higher for the app (8.6%) than for the badges (1.3%), indicating that dyads were more often detected by the app. We then compared the networks that were estimated using the proximity and self-report data. All three networks were significantly correlated, although the correlation with self-reported data was lower for the app (rho = 0.25) than for badges (rho = 0.67). The scanning rates of the app varied considerably between devices and was lower on iOS than on Android. The association between the app and the badges increased when the network was estimated between participants whose app recorded more regularly. These findings suggest that the accuracy of proximity networks can be further improved by reducing missing data and restricting the interpersonal distance at which interactions are detected.Comment: 20 pages, 5 figure

    Wireless body sensor networks for health-monitoring applications

    Get PDF
    This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01

    An Analogue Front-End Test-Bed for Software Defined Radio

    Get PDF
    A Software Defined Radio (SDR) is a radio receiver and/or transmitter, whose characteristics can to a large extent be defined by software. Thus, an SDR can receive and/or transmit a wide variety of signals, supporting many different standards. In our research, we currently focus on a demonstrator that is able to receive both Bluetooth and HiperLAN/2. This helps us to identify problems associated with SDR, and will provide a test-bed for possible solutions to these problems. The two standards differ significantly in characteristics like frequency band, signal bandwidth and modulation type. Combining two different standards in one receiver appears to pose new design challenges. For example, in the wide frequency range that we want to receive, many strong signals\ud may exist. This leads to severe linearity requirements for wideband receivers. This paper describes some receiver architectures. One\ud design has been selected. This receiver has been built, and some measurement results are included

    Software for Wearable Devices: Challenges and Opportunities

    Full text link
    Wearable devices are a new form of mobile computer system that provides exclusive and user-personalized services. Wearable devices bring new issues and challenges to computer science and technology. This paper summarizes the development process and the categories of wearable devices. In addition, we present new key issues arising in aspects of wearable devices, including operating systems, database management system, network communication protocol, application development platform, privacy and security, energy consumption, human-computer interaction, software engineering, and big data.Comment: 6 pages, 1 figure, for Compsac 201
    • 

    corecore