-
1
-
-
84951157163
-
-
Amazon web services, inc. http://aws.amazon.com/.
-
-
-
-
3
-
-
79957913740
-
Recognition of false alarms in fall detection systems
-
S. Abbate, M. Avvenuti, G. Cola, P. Corsini, J. Light, and A. Vecchio. Recognition of false alarms in fall detection systems. In CCNC 2011, 2011.
-
(2011)
CCNC 2011
-
-
Abbate, S.1
Avvenuti, M.2
Cola, G.3
Corsini, P.4
Light, J.5
Vecchio, A.6
-
4
-
-
84869137558
-
-
InTech
-
S. Abbate, M. Avvenuti, P. Corsini, J. Light, and A. Vecchio. Monitoring of Human Movements for Fall Detection and Activities Recognition in Elderly Care Using Wireless Sensor Network: a Survey. InTech, 2010.
-
(2010)
Monitoring of Human Movements for Fall Detection and Activities Recognition in Elderly Care Using Wireless Sensor Network: A Survey
-
-
Abbate, S.1
Avvenuti, M.2
Corsini, P.3
Light, J.4
Vecchio, A.5
-
5
-
-
84861214566
-
Evaluation of accelerometer-based fall detection algorithms on real-world falls
-
F. Bagal, C. Becker, A. Cappello, L. Chiari, K. Aminian, J. M. Hausdorff, W. Zijlstra, and J. Klenk. Evaluation of accelerometer-based fall detection algorithms on real-world falls. PloS one, 7(5):e37062, 2012.
-
(2012)
PloS One
, vol.7
, Issue.5
, pp. e37062
-
-
Bagal, F.1
Becker, C.2
Cappello, A.3
Chiari, L.4
Aminian, K.5
Hausdorff, J.M.6
Zijlstra, W.7
Klenk, J.8
-
6
-
-
84925450955
-
Fog computing: A platform for internet of things and analytics
-
Springer
-
F. Bonomi, R. Milito, P. Natarajan, and J. Zhu. Fog computing: A platform for internet of things and analytics. In Big Data and Internet of Things: A Roadmap for Smart Environments, pages 169-186. Springer, 2014.
-
(2014)
Big Data and Internet of Things: A Roadmap for Smart Environments
, pp. 169-186
-
-
Bonomi, F.1
Milito, R.2
Natarajan, P.3
Zhu, J.4
-
7
-
-
84866627419
-
Fog computing and its role in the internet of things
-
ACM
-
F. Bonomi, R. Milito, J. Zhu, and S. Addepalli. Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pages 13-16. ACM, 2012.
-
(2012)
Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing
, pp. 13-16
-
-
Bonomi, F.1
Milito, R.2
Zhu, J.3
Addepalli, S.4
-
8
-
-
78149280029
-
Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities
-
A. Bourke, P. Van de Ven, M. Gamble, R. O'Connor, K. Murphy, E. Bogan, E. McQuade, P. Finucane, G. O'Laighin, and J. Nelson. Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities. Journal of Biomechanics, 43(15):3051-3057, 2010.
-
(2010)
Journal of Biomechanics
, vol.43
, Issue.15
, pp. 3051-3057
-
-
Bourke, A.1
Van De Ven, P.2
Gamble, M.3
O'Connor, R.4
Murphy, K.5
Bogan, E.6
McQuade, E.7
Finucane, P.8
O'Laighin, G.9
Nelson, J.10
-
9
-
-
84894121904
-
A multi-modal approach for activity classification and fall detection
-
J. C. Castillo, D. Carneiro, J. Serrano-Cuerda, P. Novais, A. Fernández-Caballero, and J. Neves. A multi-modal approach for activity classification and fall detection. International Journal of Systems Science, 45(4):810-824, 2014.
-
(2014)
International Journal of Systems Science
, vol.45
, Issue.4
, pp. 810-824
-
-
Castillo, J.C.1
Carneiro, D.2
Serrano-Cuerda, J.3
Novais, P.4
Fernández-Caballero, A.5
Neves, J.6
-
10
-
-
84900800509
-
Data-intensive applications, challenges, techniques and technologies: A survey on big data
-
C. P. Chen and C.-Y. Zhang. Data-intensive applications, challenges, techniques and technologies: A survey on big data. Information Sciences, 275:314-347, 2014.
-
(2014)
Information Sciences
, vol.275
, pp. 314-347
-
-
Chen, C.P.1
Zhang, C.-Y.2
-
11
-
-
33846923377
-
Wearable sensors for reliable fall detection
-
IEEE
-
J. Chen, K. Kwong, D. Chang, J. Luk, and R. Bajcsy. Wearable sensors for reliable fall detection. In EMBC 2005, pages 3551-3554. IEEE, 2006.
-
(2006)
EMBC 2005
, pp. 3551-3554
-
-
Chen, J.1
Kwong, K.2
Chang, D.3
Luk, J.4
Bajcsy, R.5
-
12
-
-
34447558066
-
Virtual reality in stroke rehabilitation: Still more virtual than real
-
J. Crosbie, S. Lennon, J. Basford, and S. McDonough. Virtual reality in stroke rehabilitation: still more virtual than real. Disability and Rehabilitation, 29(14):1139-1146, 2007.
-
(2007)
Disability and Rehabilitation
, vol.29
, Issue.14
, pp. 1139-1146
-
-
Crosbie, J.1
Lennon, S.2
Basford, J.3
McDonough, S.4
-
13
-
-
84874528584
-
Time series analysis using geometric template matching
-
J. Frank, S. Mannor, J. Pineau, and D. Precup. Time series analysis using geometric template matching. PAMI, 35(3), 2013.
-
(2013)
PAMI
, vol.35
, Issue.3
-
-
Frank, J.1
Mannor, S.2
Pineau, J.3
Precup, D.4
-
15
-
-
51349115095
-
Big data: The future of biocuration
-
D. Howe, M. Costanzo, P. Fey, T. Gojobori, L. Hannick, W. Hide, D. P. Hill, R. Kania, M. Schaeffer, S. St Pierre, et al. Big data: The future of biocuration. Nature, 455(7209):47-50, 2008.
-
(2008)
Nature
, vol.455
, Issue.7209
, pp. 47-50
-
-
Howe, D.1
Costanzo, M.2
Fey, P.3
Gojobori, T.4
Hannick, L.5
Hide, W.6
Hill, D.P.7
Kania, R.8
Schaeffer, M.9
St Pierre, S.10
-
16
-
-
49649102993
-
The impact of prevention on reducing the burden of cardiovascular disease
-
R. Kahn, R. M. Robertson, R. Smith, and D. Eddy. The impact of prevention on reducing the burden of cardiovascular disease. Circulation Journal by American Heart Association, 108:576-585, 2008.
-
(2008)
Circulation Journal by American Heart Association
, vol.108
, pp. 576-585
-
-
Kahn, R.1
Robertson, R.M.2
Smith, R.3
Eddy, D.4
-
17
-
-
70350746328
-
Accurate, fast fall detection using gyroscopes and accelerometer-derived posture information
-
Q. Li, J. Stankovic, M. Hanson, A. Barth, J. Lach, and G. Zhou. Accurate, fast fall detection using gyroscopes and accelerometer-derived posture information. In Proc. of BSN 2009, 2009.
-
(2009)
Proc. of BSN 2009
-
-
Li, Q.1
Stankovic, J.2
Hanson, M.3
Barth, A.4
Lach, J.5
Zhou, G.6
-
18
-
-
33745781710
-
A symbolic representation of time series, with implications for streaming algorithms
-
J. Lin, E. Keogh, S. Lonardi, and B. Chiu. A symbolic representation of time series, with implications for streaming algorithms. In Proc. of the 8th SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2003.
-
(2003)
Proc. of the 8th SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
-
-
Lin, J.1
Keogh, E.2
Lonardi, S.3
Chiu, B.4
-
19
-
-
80051702914
-
Design considerations for the wisdm smart phone-based sensor mining architecture
-
J. Lockhart, G. Weiss, J. Xue, S. Gallagher, A. Grosner, and T. Pulickal. Design considerations for the wisdm smart phone-based sensor mining architecture. In Proc. of the Fifth International Workshop on Knowledge Discovery from Sensor Data, Held in Conjunction with The 17th ACM SIGKDD, volume 25-33, 2011.
-
(2011)
Proc. of the Fifth International Workshop on Knowledge Discovery from Sensor Data, Held in Conjunction with the 17th ACM SIGKDD
, vol.25-33
-
-
Lockhart, J.1
Weiss, G.2
Xue, J.3
Gallagher, S.4
Grosner, A.5
Pulickal, T.6
-
21
-
-
84898950824
-
An efficient orientation filter for inertial and inertial/magnetic sensor arrays
-
S. Madgwick. An efficient orientation filter for inertial and inertial/magnetic sensor arrays. Report x-io and University of Bristol (UK), 2010.
-
(2010)
Report X-io and University of Bristol (UK)
-
-
Madgwick, S.1
-
22
-
-
84900482486
-
Combining domain knowledge and machine learning for robust fall detection
-
V. Mirchevska, M. Lu?trek, and M. Gams. Combining domain knowledge and machine learning for robust fall detection. Expert Systems, 2013.
-
(2013)
Expert Systems
-
-
Mirchevska, V.1
Lutrek, M.2
Gams, M.3
-
23
-
-
79952444246
-
Forecasting the future of cardiovascular disease in the United States: A policy statement from the American Heart Association
-
H. PA, T. JG, K. OA, B. J, D. K, E. MD, F. EA, H. Y, J. SC, K. A, L.-J. DM, N. SA, N. G, O. D, W. PW, and W. YJ. Forecasting the future of cardiovascular disease in the united states: a policy statement from the american heart association. Circulation Journal by American Heart Association, 123:933-944, 2011.
-
(2011)
Circulation Journal by American Heart Association
, vol.123
, pp. 933-944
-
-
Pa, H.1
Jg, T.2
Oa, K.3
Bi, J.4
Do, K.5
Md, E.6
Ea, F.7
He, Y.8
Sc, J.9
Ai, K.10
Dm, L.-J.11
Sa, N.12
Nu, G.13
Oi, D.14
Pw, W.15
Yj, W.16
-
24
-
-
84951022169
-
-
V. Stantchev, A. Barnawi, S. Ghulam, J. Schubert, and G. Tamm. Smart items, fog and cloud computing as enablers of servitization in healthcare. 2015.
-
(2015)
Smart Items, Fog and Cloud Computing As Enablers of Servitization in Healthcare
-
-
Stantchev, V.1
Barnawi, A.2
Ghulam, S.3
Schubert, J.4
Tamm, G.5
-
25
-
-
58149269939
-
Atrial brillation detected by mobile cardiac outpatient telemetry in cryptogenic tia or stroke
-
A. Tayal, M. Tian, K. Kelly, S. Jones, D. Wright, D. Singh, J. Jarouse, J. Brillman, S. Murali, and R. Gupta. Atrial brillation detected by mobile cardiac outpatient telemetry in cryptogenic tia or stroke. Neurology, 71(21):1696-1701, 2008.
-
(2008)
Neurology
, vol.71
, Issue.21
, pp. 1696-1701
-
-
Tayal, A.1
Tian, M.2
Kelly, K.3
Jones, S.4
Wright, D.5
Singh, D.6
Jarouse, J.7
Brillman, J.8
Murali, S.9
Gupta, R.10
-
26
-
-
84996757871
-
Finding your way in the definition fog: Towards a comprehensive of fog computing
-
L. M. Vaquero and L. Rodero-Merino. Finding your way in the definition fog: Towards a comprehensive of fog computing. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 44(5):27-32, 2014.
-
(2014)
ACM Sigcomm Computer Communication Review
, vol.44
, Issue.5
, pp. 27-32
-
-
Vaquero, L.M.1
Rodero-Merino, L.2
|