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      Using BLE to Pre-empt Transitions between Smart Indoor Spaces

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      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Bluetooth Low Energy, Presence Detection, Smart Spaces, Assistive Technology

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          Abstract

          One of the abiding concerns of relatives of people with intellectual disability who are approaching adulthood, and those who care for senior citizens with cognitive impairment, relates to scheduling and organisation of daily activities such as commuting, medication plans and appointments. With appropriate software, information can be collected and harvested to support ID service users or aging people who have lost part of their cognitive skill. One key enabler in this system is the smartphone that has become part of modern life. Although the GPS capabilities of smartphones work well for outside locations, indoor positioning is still problematic and indoor location is a vital awareness component in ambient assistance. This study considers the use of Bluetooth Low Energy (BLE) Received Signal Strength Indicators (RSSI) from either a smart phone or beacon to assist with user embarkation and transition between spaces. The full scope of the study considers the impact of phone orientation, whether a phone is in the hand of the user, how performance can be impacted by presence of typical office furniture and the impact of different phone models. In this preliminary version we focus on differences between whether the phone is in the hand of the user or on a table top and how RSSI information can be used to develop services that predict and assist with behaviour of users as they move between locations.

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          Most cited references 3

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          Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology

          Bluetooth Low Energy (BLE) is an emerging low-power wireless technology developed for short-range control and monitoring applications that is expected to be incorporated into billions of devices in the next few years. This paper describes the main features of BLE, explores its potential applications, and investigates the impact of various critical parameters on its performance. BLE represents a trade-off between energy consumption, latency, piconet size, and throughput that mainly depends on parameters such as connInterval and connSlaveLatency. According to theoretical results, the lifetime of a BLE device powered by a coin cell battery ranges between 2.0 days and 14.1 years. The number of simultaneous slaves per master ranges between 2 and 5,917. The minimum latency for a master to obtain a sensor reading is 676 μs, although simulation results show that, under high bit error rate, average latency increases by up to three orders of magnitude. The paper provides experimental results that complement the theoretical and simulation findings, and indicates implementation constraints that may reduce BLE performance.
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            Outcomes in different residential settings for people with intellectual disability: a systematic review.

            Large-scale reviews of research in deinstitutionalization and community living were last conducted about 10 years ago. Here we surveyed research from 1997 to 2007. Articles were included if the researchers based the study on original research, provided information on the participants and methodology, compared residential arrangements for adults with intellectual disability, and were published in English-language peer-reviewed journals. Sixty-eight articles were found. In 7 of 10 domains, the majority of studies show that community-based services are superior to congregate arrangements. These studies provide more evidence of the benefits of deinstitutionalization and community living and continue to indicate variability in results, suggesting that factors other than the basic model of care are important in determining outcomes.
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              An IMU-Aided Body-Shadowing Error Compensation Method for Indoor Bluetooth Positioning

              Research on indoor positioning technologies has recently become a hotspot because of the huge social and economic potential of indoor location-based services (ILBS). Wireless positioning signals have a considerable attenuation in received signal strength (RSS) when transmitting through human bodies, which would cause significant ranging and positioning errors in RSS-based systems. This paper mainly focuses on the body-shadowing impairment of RSS-based ranging and positioning, and derives a mathematical expression of the relation between the body-shadowing effect and the positioning error. In addition, an inertial measurement unit-aided (IMU-aided) body-shadowing detection strategy is designed, and an error compensation model is established to mitigate the effect of body-shadowing. A Bluetooth positioning algorithm with body-shadowing error compensation (BP-BEC) is then proposed to improve both the positioning accuracy and the robustness in indoor body-shadowing environments. Experiments are conducted in two indoor test beds, and the performance of both the BP-BEC algorithm and the algorithms without body-shadowing error compensation (named no-BEC) is evaluated. The results show that the BP-BEC outperforms the no-BEC by about 60.1% and 73.6% in terms of positioning accuracy and robustness, respectively. Moreover, the execution time of the BP-BEC algorithm is also evaluated, and results show that the convergence speed of the proposed algorithm has an insignificant effect on real-time localization.
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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-5
                Affiliations
                Dublin Institute of Technology, School of Electrical and Electronic Engineering, Kevin Street, Dublin 8, Ireland
                Article
                10.14236/ewic/HCI2018.182
                © Rifai et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                HCI
                32
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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