Signal Processing - March 2016 - 44

[23] M. Vacher, D. Istrate, F. Portet, T. Joubert, T. Chevalier, S. Smidtas, B.
Meillon, B. Lecouteux et al., "The SWEET-HOME project: Audio technology in
smart homes to improve well-being and reliance," in Proc. Annu. Int. Conf. IEEE
Engineering in Medicine and Biology Society, 2011, pp. 5291-5294.

[46] E. Principi, P. Olivetti, S. Squartini, R. Bonfigli, and F. Piazza, "A floor
acoustic sensor for fall classification," in Proc. 138th Audio Engineering Soc.
Convention, 2015, pp. 949-958.

[24] T. S. Barger, D. E. Brown, and M. Alwan, "Health-status monitoring through
analysis of behavioral patterns," IEEE Trans. Syst. Man Cybern. Part A Syst. Hum.,
vol. 35, no. 1, pp. 22-27, Jan. 2005.

[47] J. D. J. Dai, X. B. X. Bai, Z. Y. Z. Yang, Z. S. Z. Shen, and D. X. D. Xuan,
"PerFallD: A pervasive fall detection system using mobile phones," in Proc. 8th
IEEE Int. Conf. Pervasive Computing and Communications Workshops
(PERCOM Workshops), 2010, pp. 292-297.

[25] T. L. Hayes, F. Abendroth, A. Adami, M. Pavel, T. A. Zitzelberger, and J. A.
Kaye, "Unobtrusive assessment of activity patterns associated with mild cognitive
impairment," Alzheimers Dement., vol. 4, no. 6, pp. 395-405, Nov. 2008.

[48] Y. Cao, Y. Yang, and W. H. Liu, "E-FallD: A fall detection system using
android-based smartphone," in Proc. 9th Int. Conf. Fuzzy Systems and Knowledge
Discovery, 2012, pp. 1509-1513.

[26] N. K. Suryadevara and S. C. Mukhopadhyay, "Determining wellness through
an ambient assisted living environment," IEEE Intell. Syst., vol. 29, no. 3, pp. 30-37,
2014.

[49] G. A. Koshmak, M. Linden, and A. Loutfi, "Evaluation of the android-based
fall detection system with physiological data monitoring," in Proc. Annu. Int. Conf.
IEEE Engineering in Medicine and Biology Society, 2013, pp. 1164-1168.

[27] G. Yin and D. Bruckner, "Daily activity learning from motion detector data for
ambient assisted living," in Proc. 3rd Int. Conf. Human System Interaction, 2010,
pp. 89-94.

[50] A. M. Khan, Y. K. Lee, S. Y. Lee, and T. S. Kim, "A triaxial accelerometerbased physical-activity recognition via augmented-signal features and a hierarchical
recognizer," IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 5, pp. 1166-1172, 2010.

[28] A. N. Belbachir, S. Schraml, and A. Nowakowska, "Event-driven stereo vision
for fall detection," in Proc. IEEE Computer Society Conf. Computer Vision
Pattern Recognition Workshops, 2011, pp. 78-83.

[51] D. W. Kang, J. S. Choi, J. W. Lee, S. C. Chung, S. J. Park, and G. R. Tack,
"Real-time elderly activity monitoring system based on a tri-axial accelerometer,"
Disabil. Rehabil. Assist. Technol., vol. 5, no. 4, pp. 247-253, 2010.

[29] R. Cucchiara, A. Prati, and R. Vezzani, "A multi-camera vision system for fall
detection and alarm generation," Expert Syst., vol. 24, no. 5, pp. 334-345, 2007.

[52] D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell, and B. G.
Celler, "Implementation of a real-time human movement classifier using a triaxial
accelerometer for ambulatory monitoring," IEEE Trans. Inf. Technol. Biomed., vol.
10, no. 1, pp. 156-167, 2006.

[30] L. Palmerini, F. Bagalà, A. Zanetti, J. Klenk, C. Becker, and A. Cappello, "A
wavelet-based approach to fall detection," Sensors, vol. 15, no. 5, pp. 11575-11586,
2015.
[31] M. Van Wieringen and J. Eklund, "Real-time signal processing of accelerometer data for wearable medical patient monitoring devices," in Proc. Annu. Int. Conf.
IEEE Engineering in Medicine and Biology Society, 2008, pp. 2397-2400.

[53] M. Yu, A. Rhuma, S. M. Naqvi, L. Wang, and J. Chambers, "A posture recognition-based fall detection system for monitoring an elderly person in a smart home
environment," IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 6, pp. 1274-1286,
2012.

[32] J. J. Villacorta, M. I. Jiménez, L. del Val, and A. Izquierdo, "A configurable
sensor network applied to ambient assisted living," Sensors, vol. 11, no. 11, pp.
10724-10737, 2011.

[54] N. Noury, A. Galay, J. Pasquier, and M. Ballussaud, "Preliminary investigation
into the use of autonomous fall detectors," in Proc. Annu. Int. Conf. IEEE
Engineering in Medicine and Biology Society, 2008, pp. 2828-2831.

[33] A. Yazar, F. Keskin, B. U. Töreyin, and A. E. Çetin, "Fall detection using single-tree complex wavelet transform," Pattern Recognit. Lett., vol. 34, no. 15, pp.
1945-1952, 2013.

[55] G. Wu, "Distinguishing fall activities from normal activities by velocity characteristics," J. Biomech., vol. 33, no. 11, pp. 1497-1500, 2000.

[34] B. U. Toreyin, Y. Dedeoglu, and A. E. Cetin, "HMM based falling person
detection using both audio and video," in Computer Vision in Human-Computer
Interaction, vol. 3766. Springer Berlin Heidelberg, 2005, pp. 211-220.
[35] S. Lee, K. N. Ha, and K. C. Lee, "A pyroelectric infrared sensor-based indoor
location-aware system for the smart home," IEEE Trans. Consum. Electron., vol. 52,
vol. 4, pp. 1311-1317, Nov. 2006.

[57] A. N. Belbachir, A. Nowakowska, S. Schraml, G. Wiesmann, and R.
Sablatnig, "Event-driven feature analysis in a 4-D spatiotemporal representation for
ambient assisted living," in Proc. IEEE Int. Conf. Computer Vision, 2011, pp.
1570-1577.

[36] M. A. Stelios, A. D. Nick, M. T. Effie, K. M. Dimitris, and S. C. A.
Thomopoulos, "An indoor localization platform for ambient assisted living using
UWB," in Proc. 6th Int. Conf. Advances in Mobile Computing and Multimedia,
2008, p. 178.

[58] H. Foroughi, A. Naseri, A. Saberi, and H. S. Yazdi, "An eigenspace-based
approach for human fall detection using integrated time motion image and neural
network," in Proc. 9th Int. Conf. Signal Processing, 2008, pp. 1499-1503.

[37] A. Rajgarhia, F. Stann, and J. Heidemann, "Privacy-sensitive monitoring with
a mix of IR sensors and cameras," in Proc. Second Int. Workshop on Sensor and
Actor Network Protocols and Applications, 2004, pp. 21-29.

[59] S. G. Miaou, P. H. Sung, and C. Y. Huang, "A customized human fall detection
system using omni-camera images and personal information," in Proc. 1st
Transdisciplinary Conf. Distributed Diagnosis and Home Healthcare, 2006, vol.
2006, pp. 39-42.

[38] S. Banerjee, F. Steenkeste, P. Couturier, M. Debray, and A. Franco,
"Telesurveillance of elderly patients by use of passive infra-red sensors in a 'smart'
room," J. Telemed. Telecare, vol. 9, no. 1, pp. 23-29, Feb. 2003.
[39] T. L. T. Hayes, M. Pavel, N. Larimer, I. A. I. Tsay, J. Nutt, and A. G. Adami,
"Simultaneous assessment of multiple individuals," IEEE Pervasive Comput., vol.
6, no. 1, pp. 36-43, 2007.
[40] A. Hein, M. Eichelberg, O. Nee, A. Schulz, A. Helmer, and M. Lipprandt, "A
service oriented platform for health services and ambient assisted living," in Proc.
Int. Conf. Advanced Information Networking and Applications Workshops, 2009,
pp. 531-537.
[41] V. Hers, D. Corbugy, I. Joslet, P. Hermant, J. Demarteau, B. Delhougne, G.
Vandermoten, and J. P. Hermanne, "New concept using passive infrared (PIR) technology for a contactless detection of breathing movement: A pilot study involving a cohort
of 169 adult patients," J. Clin. Monit. Comput., vol. 27, no. 5, pp. 521-529, Apr. 2013.
[42] A. Jin, B. Yin, G. Morren, H. Duric, and R. M. Aarts, "Performance evaluation
of a tri-axial accelerometry-based respiration monitoring for ambient assisted living," in Proc. Annu. Int. Conf. IEEE Engineering in Medicine and Biology
Society, 2009, pp. 5677-5680.
[43] S. Pasler and W.-J. Fischer, "Acoustical method for objective food intake monitoring using a wearable sensor system," in Proc. 5th Int. Conf. Pervasive
Computing Technologies for Healthcare Workshops, 2011, pp. 266-269.
[44] J. Sachs, M. Helbig, R. Herrmann, M. Kmec, K. Schilling, and E. Zaikov,
"Remote vital sign detection for rescue, security, and medical care by ultra-wideband pseudo-noise radar," Ad Hoc Netw., vol. 13, part A, pp. 42-53, 2014.
[45] B. U. Toreyin, E. B. Soyer, I. Onaran, and E. E. Cetin, "Falling person detection using multisensor signal processing," EURASIP J. Adv. Signal Process., vol.
2008, Jan. 2008.

44

[56] C. Rougier, J. Meunier, A. St-Arnaud, and J. Rousseau, "Fall detection from
human shape and motion history using video surveillance," in Proc. 21st Int. Conf.
Advanced Information Networking and Applications Workshops (AINAW), 2007,
vol. 2, pp. 875-880.

[60] B. Jansen and R. Deklerck, "Context aware inactivity recognition for visual fall
detection," in Proc. Pervasive Health Conf. and Workshops, 2007, pp. 1-4.
[61] A. N. Belbachir, M. Litzenberger, S. Schraml, M. Hofstatter, D. Bauer, P.
Schon, M. Humenberger, C. Sulzbachner et al., "CARE: A dynamic stereo vision
sensor system for fall detection," in Proc. IEEE Int. Symp. Circuits and Systems,
2012, pp. 731-734.
[62] R. Hoyle, R. Templeman, S. Armes, D. Anthony, D. Crandall, and A. Kapadia,
"Privacy behaviors of lifeloggers using wearable cameras," in Proc. ACM Int. Joint
Conf. Pervasive and Ubiquitous Computing, 2014, pp. 571-582.
[63] A. R. Doherty, S. E. Hodges, A. C. King, A. F. Smeaton, E. Berry, C. J. A. Moulin,
S. E. Lindley, P. Kelly et al., "Wearable cameras in health: The state of the art and
future possibilities," Am. J. Prev. Med., vol. 44, no. 3, pp. 320-323, Mar. 2013.
[64] P. Chen, P. Ahammad, C. Boyer, S. I. Huang, L. Lin, E. Lobaton, M. Meingast,
S. Oh et al., "Citric: A low-bandwidth wireless camera network platform," in Proc.
2nd ACM/IEEE Int. Conf. Distributed Smart Cameras, 2008, pp. 110.
[65] K. Zhan, F. Ramos, and S. Faux, "Activity recognition from a wearable camera," in Proc. 12th Int. Conf. Control Automation Robotics Vision, Dec. 2012, vol.
2012, pp. 365-370.
[66] M. Moghimi, P. Azagra, L. Montesano, A. C. Murillo, S. Belongie, D. Ia, C.
Tech, and N. York, "Experiments on an RGB-D Wearable Vision System for
Egocentric Activity Recognition," in Proc. IEEE Conf. Computer Vision and Pattern
Recognition Workshops, 2014, pp. 611-617.
[67] S. Ishimaru, K. Kunze, and K. Kise, "In the Blink of an Eye - Combining
Head Motion and Eye Blink Frequency for Activity Recognition with Google
Glass," in Proc. 5th Augmented Human Int. Conf., 2014, pp. 15:1-15:4

IEEE SIgnal ProcESSIng MagazInE

SP

|

March 2016

|



Table of Contents for the Digital Edition of Signal Processing - March 2016

Signal Processing - March 2016 - Cover1
Signal Processing - March 2016 - Cover2
Signal Processing - March 2016 - 1
Signal Processing - March 2016 - 2
Signal Processing - March 2016 - 3
Signal Processing - March 2016 - 4
Signal Processing - March 2016 - 5
Signal Processing - March 2016 - 6
Signal Processing - March 2016 - 7
Signal Processing - March 2016 - 8
Signal Processing - March 2016 - 9
Signal Processing - March 2016 - 10
Signal Processing - March 2016 - 11
Signal Processing - March 2016 - 12
Signal Processing - March 2016 - 13
Signal Processing - March 2016 - 14
Signal Processing - March 2016 - 15
Signal Processing - March 2016 - 16
Signal Processing - March 2016 - 17
Signal Processing - March 2016 - 18
Signal Processing - March 2016 - 19
Signal Processing - March 2016 - 20
Signal Processing - March 2016 - 21
Signal Processing - March 2016 - 22
Signal Processing - March 2016 - 23
Signal Processing - March 2016 - 24
Signal Processing - March 2016 - 25
Signal Processing - March 2016 - 26
Signal Processing - March 2016 - 27
Signal Processing - March 2016 - 28
Signal Processing - March 2016 - 29
Signal Processing - March 2016 - 30
Signal Processing - March 2016 - 31
Signal Processing - March 2016 - 32
Signal Processing - March 2016 - 33
Signal Processing - March 2016 - 34
Signal Processing - March 2016 - 35
Signal Processing - March 2016 - 36
Signal Processing - March 2016 - 37
Signal Processing - March 2016 - 38
Signal Processing - March 2016 - 39
Signal Processing - March 2016 - 40
Signal Processing - March 2016 - 41
Signal Processing - March 2016 - 42
Signal Processing - March 2016 - 43
Signal Processing - March 2016 - 44
Signal Processing - March 2016 - 45
Signal Processing - March 2016 - 46
Signal Processing - March 2016 - 47
Signal Processing - March 2016 - 48
Signal Processing - March 2016 - 49
Signal Processing - March 2016 - 50
Signal Processing - March 2016 - 51
Signal Processing - March 2016 - 52
Signal Processing - March 2016 - 53
Signal Processing - March 2016 - 54
Signal Processing - March 2016 - 55
Signal Processing - March 2016 - 56
Signal Processing - March 2016 - 57
Signal Processing - March 2016 - 58
Signal Processing - March 2016 - 59
Signal Processing - March 2016 - 60
Signal Processing - March 2016 - 61
Signal Processing - March 2016 - 62
Signal Processing - March 2016 - 63
Signal Processing - March 2016 - 64
Signal Processing - March 2016 - 65
Signal Processing - March 2016 - 66
Signal Processing - March 2016 - 67
Signal Processing - March 2016 - 68
Signal Processing - March 2016 - 69
Signal Processing - March 2016 - 70
Signal Processing - March 2016 - 71
Signal Processing - March 2016 - 72
Signal Processing - March 2016 - 73
Signal Processing - March 2016 - 74
Signal Processing - March 2016 - 75
Signal Processing - March 2016 - 76
Signal Processing - March 2016 - 77
Signal Processing - March 2016 - 78
Signal Processing - March 2016 - 79
Signal Processing - March 2016 - 80
Signal Processing - March 2016 - 81
Signal Processing - March 2016 - 82
Signal Processing - March 2016 - 83
Signal Processing - March 2016 - 84
Signal Processing - March 2016 - 85
Signal Processing - March 2016 - 86
Signal Processing - March 2016 - 87
Signal Processing - March 2016 - 88
Signal Processing - March 2016 - 89
Signal Processing - March 2016 - 90
Signal Processing - March 2016 - 91
Signal Processing - March 2016 - 92
Signal Processing - March 2016 - 93
Signal Processing - March 2016 - 94
Signal Processing - March 2016 - 95
Signal Processing - March 2016 - 96
Signal Processing - March 2016 - 97
Signal Processing - March 2016 - 98
Signal Processing - March 2016 - 99
Signal Processing - March 2016 - 100
Signal Processing - March 2016 - 101
Signal Processing - March 2016 - 102
Signal Processing - March 2016 - 103
Signal Processing - March 2016 - 104
Signal Processing - March 2016 - 105
Signal Processing - March 2016 - 106
Signal Processing - March 2016 - 107
Signal Processing - March 2016 - 108
Signal Processing - March 2016 - 109
Signal Processing - March 2016 - 110
Signal Processing - March 2016 - 111
Signal Processing - March 2016 - 112
Signal Processing - March 2016 - 113
Signal Processing - March 2016 - 114
Signal Processing - March 2016 - 115
Signal Processing - March 2016 - 116
Signal Processing - March 2016 - 117
Signal Processing - March 2016 - 118
Signal Processing - March 2016 - 119
Signal Processing - March 2016 - 120
Signal Processing - March 2016 - 121
Signal Processing - March 2016 - 122
Signal Processing - March 2016 - 123
Signal Processing - March 2016 - 124
Signal Processing - March 2016 - 125
Signal Processing - March 2016 - 126
Signal Processing - March 2016 - 127
Signal Processing - March 2016 - 128
Signal Processing - March 2016 - Cover3
Signal Processing - March 2016 - Cover4
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201809
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201807
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201805
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201803
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201801
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0917
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0717
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0517
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0317
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0916
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0716
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0516
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0316
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0915
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0715
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0515
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0315
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0914
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0714
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0514
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0314
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0913
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0713
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0513
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0313
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0912
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0712
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0512
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0312
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0911
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0711
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0511
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0311
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0910
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0710
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0510
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0310
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0909
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0709
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0509
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0309
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1108
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0908
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0708
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0508
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0308
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0108
https://www.nxtbookmedia.com