SPHERE: A Sensor Platform for Healthcare in a Residential Environment

Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions

Volumn , Issue , 2016, Pages 315-333

  Woznowski, Przemyslaw ^a   Burrows, Alison ^a   Diethe, Tom ^a   Fafoutis, Xenofon ^a   Hall, Jake ^a   Hannuna, Sion ^a   Camplani, Massimo ^a   Twomey, Niall ^a   Kozlowski, Michal ^a   Tan, Bo ^a   Zhu, Ni ^a   Elsts, Atis ^a   Vafeas, Antonis ^a   Paiement, Adeline ^a   Tao, Lili ^a   Mirmehdi, Majid ^a   Burghardt, Tilo ^a   Damen, Dima ^a   Flach, Peter ^a   Piechocki, Robert ^a   Craddock, Ian ^a   Oikonomou, George ^a   more..

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

ADL recognition; Ambient Assisted Living (AAL); Ambient intelligence (AmI); Biomedical monitoring; E health; Internet of things (IoT); Sensors; Smart home

Indexed keywords

EID: 85128530264     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-319-44924-1_14     Document Type: Chapter

References (58)

1. Allen FR, Ambikairajah E, Lovell NH, Celler BG (2006) Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models. Physiol Meas 2006:935
2. Atallah, L, Lo B, Ali R, King R, Yang G-Z (2009) Real-time activity classification using ambient and wearable sensors. IEEE Trans Inf Technol Biomed Publ IEEE Eng Med Biol Soc 13(6), 1031-1039
3. Berger JO (1993) Statistical decision theory and Bayesian analysis, 2nd edn. Springer-Verlag, New York, p 1993
4. Bernardo JM, Smith AFM (2008) Bayesian Theory. John Wiley & Sons, Hoboken, NJ, p 2008
5. Bian X, Abowd GD, Rehg JM (2005) Using sound source localization in a home environment
6. Bishop CM (2013) Model-based machine learning. Phil Trans R Soc A
7. Bose A, Foh CH (2007) A practical path loss model for indoor WiFi positioning enhancement. Inf Commun Signal Process
8. Brugman H, Russel A (2004) Annotating multi-media/multi-modal resources with ELAN. In:Proceedings of the 4th International Conference on Language Resources and Language Evaluation (LREC 2004). Lisbon, 2004, pp 2065-2068
9. Brush AJ, Lee B, Mahajan R, Agarwal S, Saroiu S, Dixon C (2011) Home automation in the wild: challenges and opportunities. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2115-2124. ACM
10. Burrows A, Gooberman-Hill R, Coyle D (2015) Empirically derived user attributes for the design of home healthcare technologies. Pers Ubiquit Comput 19(8):1233-1245
11. Coifman RR, Lafon S (2006) Diffusion maps. Appl Comput Harmon Anal 5-30, (Elsevier)
12. Diethe T, Twomey N, Flach P (2016) Active transfer learning for activity recognition. In: 24th European Symposium on Artificial Neural Networks. Bruges: ESANN
13. Diethe T, Twomey N, Flach P (2015) Bayesian modelling of the temporal aspects of smart home activity with circular statistics. Mach Learn Knowl Discov Databases, 279-294. Springer International Publishing, Porto
14. Exel R (2012) Receiver design for time-based ranging with IEEE 802.11b signals. Int J Navig Obs
15. Fafoutis X, Janko B, Mellios E, Hilton G, Sherratt S, Piechocki R, Craddock I (2016) SPW-1:a low-maintenance wearable activity tracker for residential monitoring and healthcare applications. Int Conf Wearables Healthc (HealthWear). EAI
16. Fafoutis X, Mellios E, Twomey N, Diethe T, Hilton G, Piechocki R (2015) An RSSI-based wall prediction model for residential floor map construction. In: Proceedings of the 2nd IEEE World Forum on Internet of Things (WF-IoT). IEEE
17. Fafoutis X, Tsimbalo E, Mellios E, Hilton G, Piechocki R, Craddock I (2016) A residential maintenance-free long-term activity monitoring system for healthcare applications. EURASIP J Wirel Commun Netw 2016, 23
18. Flach PA, Kull M (2015) Precision-recall-gain curves: PR analysis done right. In: Proceedings of the Twenty-Ninth Annual Conference on Neural Information Processing Systems. NIPS
19. Fontana RJ, Gunderson SJ (2002) Ultra-wideband precision asset location system. Ultra Wideband Systems and Technologies, Baltimore
20. Günther A, Hoene C (2005) Measuring round trip times to determine the distance between WLAN nodes
21. Gelman A, Carlin JB, Stern HS, Rubin DB (2013) Bayesian data analysis, 3rd edn. Chapman and Hall, London
22. Gerber S, Tasdizen T, Whitaker R (2007). Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian eigenmaps. In: Proceedings 24th International Conference on Machine learning, pp 281-288. ACM
23. Harle R (2013) A survey of indoor inertial positioning systems for pedestrians. IEEE Commun Surv Tutor 15(3):1281-1293
24. José H-O et al, Reframing in context: a methodology for model reuse in machine learning. AICOM, (in press)
25. Hernández-Orallo José, Flach Peter, Ferri Cèsar (2012) A unified view of performance metrics: translating threshold choice into expected classification loss. J Mach Learn Res 13 (1):2813-2869
26. Hoque E, Stankovic J (2012) AALO: Activity recognition in smart homes using Active Learning in the presence of Overlapped activities. In: Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare. IEEE, pp 139-146
27. Hui SY (2013) Planar wireless charging technology for portable electronic products and Qi. Proc IEEE 101(6):1290-1301
28. Kim E, Helal S, Cook D (2010) Human activity recognition and pattern discovery. Pervasive Comput. 48-53
29. Kipp M (2012) Annotation facilities for the reliable analysis of human motion. In: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC). Istanbul, pp 4103-4107
30. Koller D, Friedman N (2009) Probabilistic graphical models: principles and techniques. MIT Press, Cambridge, Massachusetts
31. Lao L (2006) Location-based activity recognition. University of Washington
32. Logan B, Healey J, Philipose M, Tapia EM, Intille S (2007) A long-term evaluation of sensing modalities for activity recognition. In: Proceedings of the 9th International Conference on Ubiquitous Computing (UbiComp’07). Berlin: Springer-Verlag, pp 483-500
33. Longstaff B, Reddy S, Estrin D (2010) Improving activity classification for health applications on mobile devices using active and semi-supervised learning. In: 2010 4th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), NO PERMISSIONS. IEEE, pp 1-7
34. Ciurana M, Barcelo-Arroyo F, Izquierdo F (2007) A ranging system with IEEE 802.11 data frames. In: IEEE Radio and Wireless Symposium. Long Beach
35. Maurer U, Smailagic A, Siewiorek DP, Deisher M (2006) Activity recognition and monitoring using multiple sensors on different body positions. Wearable Implant Body Sensor Netw. IEEE, Massachuset, pp 113-116
36. Mennicken S, Huang EM (2012) Hacking the natural habitat: an in-the-wild study of smart homes, their development, and the people who live in them. Pervasive Computing. Springer Berlin Heidelberg, pp 143-160
37. Mennicken S, Vermeulen J, Huang EM (2014) From today’s augmented houses to tomorrow’s smart homes: new directions for home automation research. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, pp 105-115
38. Munaro M, Menegatti E (2014) Fast RGB-D people tracking for service robots. Auton Robots, pp 1-16
39. Murphy Allan H, Winkler Robert L (1984) Probability forecasting in meteorology. J Am Stat Assoc 79:489-500
40. Narayana S, Prasad RV, Rao VS, Prabhakar TV, Kowshik SS, Iyer MS (2015) PIR Sensors: Characterization and Novel Localization Technique
41. Obayashi S, Zander J (1998) A body-shadowing model for indoor radio communication environments. IEEE Trans Antennas Propag 46(6):920-927
42. Pärkkä Juha, Ermes Miikka, Korpipää Panu, Mäntyjärvi Jani, Peltola Johannes, Korhonen Ilkka (2006) Activity classification using realistic data from wearable sensors. IEEE Trans Inf Technol Biomed 10(1):119-128
43. Paiement A, Tao L, Camplani M, Hannuna S, Damen D, Mirmehdi M (2014) Online quality assessment of human motion from skeleton data. In: Proceedings British Machine Vision Conference 2014
44. Roggen D et al (2010) Collecting complex activity datasets in highly rich networked sensor environments. In: 2010 Seventh International Conference on Networked Sensing Systems (INSS). IEEE, pp 233-240
45. Sahinoglu Z, Gezici S, Guvenc I (2008) Ultra-wideband positioning systems
46. Tan B (2015) Wi-Fi based passive human motion sensing for in-home healthcare applications. In: IEEE 2nd World Forum on Internet of Things. Milan
47. Tan B, Woodbridge K, Chetty K (2014) A real-time high resolution passive WiFi Dopplerradar and its applications. In: International Radar Conference. Lille
48. Tsimbalo E, Fafoutis X, Mellios E, Haghighi M, Tan B, Hilton G, Piechocki G, Craddock I (2015) Mitigating Packet Loss in Connectionless Bluetooth Low Energy. In: 2nd IEEE World Forum on Internet of Things (WF-IoT). Milan: IEEE. pp 291-296
49. Tsipouras MG, Tzallas AT, Rigas G, Tsouli S, Fotiadis DI, Konitsiotis S () An automated methodology for levodopa-induced dyskinesia: assessment based on gyroscope and accelerometer signals. Artif Intell Med 127-135. Elsevier
50. Twomey N, Diethe T, Flach P (2016) Unsupervised learning of sensor topologies for improving activity recognition in smart environments. Neurocomputing
51. Twomey N, Flach P (2014) Context modulation of sensor data applied to activity recognition in smart homes. In: Workshop on Learning over Multiple Contexts, European Conference on Machine Learning (ECML’14). Nancy, France
52. van Kasteren T, Noulas A, Englebienne G, Kröse B (2008) Accurate activity recognition in a home setting. In: 10th International Conference on Ubiquitous Computing-UbiComp’08. New York: ACM Press, pp 1-9
53. Wang, Y, Yang X, Zhao Y, Liu Y, Cuthbert L (2013) Bluetooth positioning using RSSI and triangulation methods. Las Vegas
54. Winn John, Bishop Christopher M, Diethe Tom R (2015) Model-based machine learning. Microsoft Research, Cambridge, p 2015
55. Woodman, O, Harle R (2008) Pedestrian localisation for indoor environments. In: Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp’08)
56. Woznowski P, et al (2015) A multi-modal sensor infrastructure for healthcare in a residential environment. In: IEEE ICC Workshop on ICT-enabled services and technologies for eHealth and AAL. London: IEEE, pp 271-277
57. Tsai Y-L, Tu T-T, Bae H, Chou PH (2010) EcoIMU: a dual triaxial-accelerometer inertial measurement unit for wearable applications. 2010 International Conference on Body Sensor Networks (BSN), Singapore
58. Zhu, Ni, et al. “Bridging e-Health and the Internet of Things: The SPHERE Project.” Intelligent Systems, IEEE (IEEE), 2015: 39-46