Vision Inspection algorithm and Wireless and Wired Inte-
grated Control System for Intelligent Logistics Inspection].References
[1] C. A. Werner, “The Older Population: 2010,” Census Briefs
U.S. Bureau of the Census, 2010,http://www.census.gov/prod/
cen2010/briefs/c2010br-09.pdf.
[2] B. M. H. Park, J. C. Ha, I. H. Shin et al., “Senior survey 2008: life
and welfare service needs of the elderly in Korea,” Ministry for
Health and Welfare, 2009.
[3] B. Kaluˇza and M. Luˇstrek, “Fall detection and activity recog-
nition methods for the confidence project: a survey,” inPro-
ceedings of the 12th International Multiconference Information
Society,vol.A,pp.22–25,2008.
[4] R. Igual, C. Medrano, and I. Plaza, “Challenges, issues and
trends in fall detection systems,”BioMedical Engineering Online,
vol. 12, no. 1, article 66, 2013.
[5] M.Mubashir,L.Shao,andL.Seed,“Asurveyonfalldetection:
principles and approaches,”Neurocomputing,vol.100,pp.144–
152, 2013.
[6]R.Hegde,B.G.Sudarshan,S.C.P.Kumar,S.A.Hariprasad,
and B. S. Satyanarayana, “Technical advances in fall detection
system—a review,”International Journal of Computer Science
and Mobile Computing,vol.2,no.7,pp.152–160,2013.
[7] S.-R. Ke, H. L. U. Thuc, Y.-J. Lee, J.-N. Hwang, J.-H. Yoo, and K.-
H. Choi, “A review on video-based human activity recognition,”
Computers, vol. 2, pp. 88–131, 2013.
[8]L.Atzori,A.Iera,andG.Morabito,“Theinternetofthings:a
survey,”Computer Networks,vol.54,no.15,pp.2787–2805,2010.
[9] J. K.-Y. Ng, “Ubiquitous healthcare: healthcare systems and
applications enabled by mobile and wireless technologies,”
Journal of Convergence,vol.3,no.2,pp.15–20,2012.[10] B. T ̈oreyin, Y. Dedeoglu, and A. Cetin, “HMM based falling
person detection using both audio and video,” inComputer
Vision in Human-Computer Interaction, pp. 211–220, Springer,
Berlin, Germany, 2005.
[11] Y. Li, K. C. Ho, and M. Popescu, “A microphone array system
for automatic fall detection,”IEEE Transactions on Biomedical
Engineering,vol.59,no.5,pp.1291–1301,2012.
[12] X. Luo, T. Liu, J. Liu, X. Guo, and G. Wang, “Design and imple-
mentation of a distributed fall detection system based on
wireless sensor networks,”Eurasip Journal on Wireless Commu-
nications and Networking,vol.2012,article118,2012.
[13] H. Rimminen, J. Lindstrom, M. Linnavuo, and R. Sepponen, ̈
“Detection of falls among the elderly by a floor sensor using the
electric near field,”IEEE Transactions on Information Technol-
ogy in Biomedicine,vol.14,no.6,pp.1475–1476,2010.
[14] M. Kangas, I. Vikman, J. Wiklander, P. Lindgren, L. Nyberg, and
T. J ̈ams ̈a, “Sensitivity and specificity of fall detection in people
aged 40 years and over,”Gait & Posture,vol.29,no.4,pp.571–
574, 2009.
[15] P.-K. Chao, H.-L. Chan, F.-T. Tang, Y.-C. Chen, and M.-K.
Wong, “A comparison of automatic fall detection by the cross-
product and magnitude of tri-axial acceleration,”Physiological
Measurement, vol. 30, no. 10, pp. 1027–1037, 2009.
[16] A. Weiss, I. Shimkin, N. Giladi, and J. M. Hausdorff, “Automated
detection of near falls: algorithm development and preliminary
results,”BMC Research Notes,vol.3,article62,2010.
[17]A.K.Bourke,J.V.O’Brien,andG.M.Lyons,“Evaluationof
a threshold-based tri-axial accelerometer fall detection algo-
rithm,”Gait and Posture, vol. 26, no. 2, pp. 194–199, 2007.
[18] A. K. Bourke and G. M. Lyons, “A threshold-based fall-
detection algorithm using a bi-axial gyroscope sensor,”Medical
Engineering & Physics,vol.30,no.1,pp.84–90,2008.
[19] Q.Li,J.A.Stankovic,M.A.Hanson,A.T.Barth,J.Lach,and
G.Zhou,“Accurate,fastfalldetectionusinggyroscopesand
accelerometer-derived posture information,” inProceedings of
the 6th International Workshop on Wearable and Implantable
Body Sensor Networks (BSN ’09),pp.138–143,Berkeley,Calif,
USA, June 2009.
[20] Y. J. Yi and Y. S. Yu, “Emergency-monitoring system based on
newly-developed fall detection algorithm,”Journal of Informa-
tion and Communication Convergence Engineering,vol.11,no.3,
pp.147–154,2013.
[21] T.Zhang,J.Wang,L.Xu,andP.Liu,“Falldetectionbywearable
sensor and one-class SVM algorithm,” inIntelligent Computing
in Signal Processing and Pattern Recognition,vol.345ofLecture
Notes in Control and Information Science,pp.858–863,2006.
[22] C. Doukas, I. Maglogiannis, P. Tragas, D. Liapis, and G.
Yovanof, “Patient fall detection using support Vector Machines,”
International Federation for Information Processing,vol.247,pp.
147–156, 2007.
[23]M.Yuwono,B.D.Moulton,S.W.Su,B.G.Celler,andH.T.
Nguyen, “Unsupervised machine-learning method for improv-
ing the performance of ambulatory fall-detection systems,”
BioMedical Engineering Online,vol.11,article9,11pages,2012.
[24] H. Kerdegari, K. Samsudin, A. R. Ramli, and S. Mokaram, “Eval-
uation of fall detection classification approaches,” inProceedings
ofthe4thInternationalConferenceonIntelligentandAdvanced
Systems (ICIAS ’12), pp. 131–136, Kuala Lumpur, Malaysia, June
2012.
[25] J. Cheng, X. Chen, and M. Shen, “A framework for daily activity
monitoring and fall detection based on surface electromyogra-
phy and accelerometer signals,”IEEEJournalonBiomedicaland
Health Informatics,vol.17,no.1,pp.38–45,2013.
[26] L. Tong, Q. Song, Y. Ge, and M. Liu, “HMM-based human fall
detection and prediction method using tri-axial accelerometer,”
IEEE Sensors Journal,vol.13,no.5,pp.1849–1856,2013.
[27] N. H. Kim and Y. S. Yu, “Fall recognition algorithm using
gravity-weighted 3-axis accelerometer data,”Journal of the
Institute of Electronics and Information Engineers,vol.50,no.6,
pp. 254–259, 2013.
[28] M. Kangas, A. Konttila, P. Lindgren, I. Winblad, and T. J ̈ams ̈a,
“Comparison of low-complexity fall detection algorithms for
body attached accelerometers,”Gait & Posture,vol.28,no.2,
pp.285–291,2008.
[29] L. Rabiner, “A tutorial on hidden Markov models and selected
applications in speech recognition,”Proceedings of the IEEE,vol.
77, no. 2, pp. 257–286, 1989.
[30] “BMA150 Triaxial acceleration sensor Data sheet,” Bosch Sen-
sortec, http://ae-bst.resource.bosch.com/media/products/do-
kumente/bma150/bma150flyerrev1314jan2008redlich.pdf.
[31] CC2530: A True System-on-Chip Solution for 2.4-GHz IEEE
802.15.4 and ZigBee Applications, Texas Instruments Incorpo-
rated.
[32] M. A. Fattah, “The use of MSVM and HMM for sentence align-
ment,”Journal of Information Processing Systems,vol.8,no.2,
pp.301–314,2012.