This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
T. Emmanuel, S. Intille and K. Larson, “Activity Recognition in the Home Using Simple and Ubiquitous Sensors”, In Proceedings of 2nd International Conference on Pervasive Computing in LNCS, Springer, Vol. 3001, 2004, pp. 158-175.Search in Google Scholar
A. Mahajan, C. Oesch, H. Padmanaban, L. Utterback, S. Chitikeshi and F. Figueroa, “Physical and Virtual Intelligent Sensors for Integrated Health Management Systems”, International Journal on Smart Sensing and Intelligent Systems, Vol. 5, No. 3, September 2012, pp. 559 – 575.10.21307/ijssis-2017-495Search in Google Scholar
T.Jayakumar, C.Babu Rao, John Philip, C.K.Mukhopadhyay, J.Jayapandian, C.Pandian, “Sensors for Monitoring Components, Systems and Processes”, International Journal on Smart Sensing and Intelligent Systems, Vol. 3, No. 1, March 2010, pp. 61-74.10.21307/ijssis-2017-379Search in Google Scholar
P.Wide, “Human-Based Sensing – Sensor Systems to Complement Human Perception”, International Journal on Smart Sensing and Intelligent Systems, vol. 1, no.1, 2008, pp. 57 – 69.10.21307/ijssis-2017-278Search in Google Scholar
S. Boukhenous, “A Low Cost Three-Directional Force Sensor”, International Journal on Smart Sensing and Intelligent Systems, vol. 4, no. 1, 2011, pp. 21-34.10.21307/ijssis-2017-424Search in Google Scholar
M.F. Rahmat, N.H. Sunar, Sy Najib Sy Salim, Mastura Shafinaz Zainal Abidin, A.A Mohd Fauzi and Z.H. Ismail, “Review on Modeling and Controller Design in Pneumatic Actuator Control System”, International Journal on Smart Sensing and Intelligent Systems, vol. 4, no. 4, 2011, pp. 630-661.10.21307/ijssis-2017-460Search in Google Scholar
T. K. Dakhlallah, M. A. Zohdy, “Type-2 Fuzzy Kalman Hybrid Application for Dynamic Security Monitoring Systems based on Multiple Sensor Fusion”, International Journal on Smart Sensing and Intelligent Systems, Vol.4, No.4, 2011, pp. 607-629.10.21307/ijssis-2017-459Search in Google Scholar
X.Pang, P.Bhattacharya, Z.O’Neill, P.Haves, M.Wetter, and T.Bailey; “ Real time building energy simulation using Energy Plus and the building controls virtual test bed”. Proceedings of Building Simulation, 12th Conference of International Building Performance Simulation Association, Sydney, November 2011. Proceedings of Building Simulation 2011, pp. 2890-2896.10.2172/1082182Search in Google Scholar
M.Wetter, “Co-simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed”, Journal of Building Performance Simulation, Vol.4, no.3, 2011 pp. 185-203.10.1080/19401493.2010.518631Search in Google Scholar
T.S. Nouidui, M. Wetter, Z. Li, X. Pang, P. Bhattacharya et P. Haves, “BACnet and analog/digital interfaces of the Building Controls Virtual Test Bed”, Proceedings of 12th International IBPSA Conference Building Simulation, , Sydney,Australia, November 2011, pp. 294-301.10.2172/1168733Search in Google Scholar
D.L. Ha, H. Joumaa, S. Ploix, M. Jacomino. “An optimal approach for electrical management problem in dwellings”. Energy and Buildings, Vol 45, , February 2012, pp 1-14.10.1016/j.enbuild.2011.11.027Search in Google Scholar
Mei-Ling SHYU, Zongxing Xie abd MIN CHEN and Shu-Ching CHEN, ‘‘Video semantic event/concept detection using a subspace-based multimedia data mining framework’’, IEEE transactions on multimedia ISSN 1520-9210, Vol 10, 2008, pp. 252–259.10.1109/TMM.2007.911830Search in Google Scholar
J. K. Aggarwal and Q. Cai, ‘‘Human motion analysis: a review’’, Computer Vision and Image Understanding, Vol 73, 1999, pp. 90-102.10.1006/cviu.1998.0744Search in Google Scholar
D. M. Gavrila, ‘‘The visual analysis of human movement: a survey’’, Computer Vision and Image Understanding, Vol 73, 1999, pp. 82-98.10.1006/cviu.1998.0716Search in Google Scholar
W. Hu, T. Tan, L. Wang, and S. Maybank, ‘‘A survey on visual surveillance of object motion and behaviors’’, Systems, Man, and Cybernetics, Part C:Applications and Reviews, Vol 34, no. 3, 2004, pp. 334-352.10.1109/TSMCC.2004.829274Search in Google Scholar
David A. Forsyth, Okan Arikan, Leslie Ikemoto, James O’brien and amanan, ‘‘Computational studies of human motion: part 1, tracking and motion synthesis’’, Found. Trends. Comput. Graph. Vis, Vol 1, 2005, pp. 77–254.10.1561/0600000005Search in Google Scholar
Ronald Poppe, ‘‘A survey on vision-based human action recognition’’, Image and Vision Computing (IVC), Vol 28, no. 6, 2010, pp.976 – 990.10.1016/j.imavis.2009.11.014Search in Google Scholar
Poppe, R. ‘‘A survey on vision-based human action recognition ‘‘, Image and Vision Computing (IVC), Vol 28, no. 6, 2010, pp. 976 – 990.10.1016/j.imavis.2009.11.014Search in Google Scholar
Turaga, P., R. Chellappa, V. S. Subrahmanian, and O. Udrea , ‘‘ Machine recognition of human activities A survey ‘‘, IEEE Transactions on Circuits and Systems for Video Technology Vol 18, no. 11, 2008, pp.1473–1488.10.1109/TCSVT.2008.2005594Search in Google Scholar
Ali, S. and Shah, ‘‘ Human action recognition in videos using kinematic features and multipleinstance learning’’, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 32, no. 2, 2010, pp. 288–303.10.1109/TPAMI.2008.28420075459Search in Google Scholar
Dollar, P., V. Rabaud, G. Cottrell, and Belongie , ‘‘ Behavior recognition via sparse spatiotemporal features’’, In 2nd International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (PETS), 2005, pp. 65–72.Search in Google Scholar
Willems, G., T. Tuytelaars, and V. Gool, ‘‘An efficient dense and scale-invariant spatiotemporalinterest point detector’’, In European Conference on Computer Vision (ECCV), Vol 102, 2008, pp. 650-663.10.1007/978-3-540-88688-4_48Search in Google Scholar
Fathi, A. and G. Mori, ‘‘Action recognition by learning mid-level motion features ‘‘, In International Conference on Computer Vision and Pattern Recognition (CVPR), Vol 2, 2008, pp. 726-733.10.1109/CVPR.2008.4587735Search in Google Scholar
Laptev, I., M. Marszałek, C. Schmid, and Rozenfeld , ‘‘ Learning realistic human actions from movies’’, In International Conference on Computer Vision and Pattern Recognition (CVPR), Vol 64, 2008, pp. 107-123.10.1109/CVPR.2008.4587756Search in Google Scholar
Kläser, A., M. Marszałek, and C. Schmid,’’ A spatio-temporal descriptor based on 3dgradients ‘‘, In British Machine Vision Conference (BMVC), 2008, pp. 995-100410.5244/C.22.99Search in Google Scholar
Mauthner, T., P. M. Roth, and H. Bischof, ‘‘Instant action recognition ‘‘, In 16th Scandinavian Conference on Image Analysis (SCIA), 2009, pp1-10.10.1007/978-3-642-02230-2_1Search in Google Scholar
Huang, W. and J. Wu,’’Human action recognition using recursive self organizing map and longest common subsequence matching ‘‘, In International Workshop on Applications of Computer Vision (WACV), 2009, pp. 1 –6.Search in Google Scholar
Wang, L., H. Zhou, S.-C. Low, and Leckie,’’Action recognition via multi-feature fusion and gaussian process classification ‘‘, In International Workshop on Applications of Computer Vision (WACV), 2009, pp. 1-6.10.1109/WACV.2009.5403113Search in Google Scholar
Yang, W., Y. Wang, and G. Mori,’’ Efficient human action detection using a transferable distance function’’, In Asian Conference on Computer Vision (ACCV), Vol 5995, 2009, pp. 417- 426.10.1007/978-3-642-12304-7_39Search in Google Scholar
Zhang, J. and S.Gong ,’’ Action categorization with modified hidden conditional random field’’, Pattern Recognition (PR), Vol 43, no.1, 2010, pp. 197- 203.10.1016/j.patcog.2009.05.015Search in Google Scholar
Laptev, I. and T Lindeberg,’’Velocity adaptation of space-time interest points’’, International Conference on Pattern Recognition (ICPR), 2004, pp. 52–56.10.1109/ICCV.2003.1238378Search in Google Scholar
R. Kehl, M. Bray, and L.Van Gool, ‘‘Full body tracking from multiple views using stochastic sampling’’, interantional conference on Computer Vision and Pattern Recognition, Vol 2, 2005 pp. 129-136.Search in Google Scholar
D. Weinland, R. Ronfard, and E. Boyer, ‘‘Free viewpoint action recognition using motion history volumes’’, Computer Vision and Image Understanding, Vol 104, no. 2, 2006, pp. 249257.10.1016/j.cviu.2006.07.013Search in Google Scholar
F. Lv and R. Nevatia, ‘‘Single view human action recognition using key pose matching and viterbi path searching’’, international conference on Computer Vision and Pattern Recognition, 2007, pp. 1-8.10.1109/CVPR.2007.383131Search in Google Scholar
C. Rao, A. Yilmaz, and M. Shah, ‘‘View-invariant representation and recognition of actions’’, International Journal of Computer Vision, Vol 50, no. 2, 2002, pp. 203-226.10.1023/A:1020350100748Search in Google Scholar
V.Parameswaran and R. Chellappa, ‘‘View invariance for human action recognition’’, International Journal of Computer Vision, Vol 66, no. 1, 2006, pp. 83-101.10.1007/s11263-005-3671-4Search in Google Scholar
A. Gritai, Y. Sheikh, and M. Shah,’’On the use of anthropometry in the invariant analysis of human actions’’, International Conference on Pattern Recognition, Vol 2, 2004, pp. 923-926.10.1109/ICPR.2004.1334410Search in Google Scholar
A. Yilmaza and M. Shah, ‘‘Matching actions in presence of camera motion’’, Computer Vision and Image Understanding, Vol 104, no. 2, 2006, pp. 221-231.10.1016/j.cviu.2006.07.012Search in Google Scholar
C. Rao, A.Gritai, M.Shah, and T. Syeda-Mahmood, ‘‘View-invariant alignment and matching of video sequences’’, International Conference on Computer Vision, Vol 2, 2003, pp. 939-945.10.1109/ICCV.2003.1238449Search in Google Scholar
T. Syeda-Mahmood, A. Vasilescu, and S. Sethi, ‘‘Recognizing action events from multiple viewpoints’’, Detection and Recognition of Events in Video Workshop, 2001, pp. 64-72.Search in Google Scholar
Qiang He and C. Debrunner, ‘‘Individual recognition from periodic activity using hidden markov models’’, Human Motion Workshop, 2000, pp. 47-52.Search in Google Scholar
A.A. Efros, A.C. Berg, G. Mori, and J. Malik, ‘‘Recognizing action at a distance’’, International Conference on Computer Vision, Vol 2, 2003, pp. 726-733.10.1109/ICCV.2003.1238420Search in Google Scholar
R. Cutler and M. Turk, ‘‘View-based interpretation of real-time optical _ow for gesture recognition’’, International Conference on Automatic Face and Gesture Recognition, 1998, pp. 416-421.Search in Google Scholar
J.W. Davis and A.F. Bobick, ‘‘The representation and recognition of action using temporal templates’’, International conference on Computer Vision and Pattern Recognition, 1997, pp. 928-934.Search in Google Scholar
Ojala, T., Pietikainen, M., and Harwood, D, ‘‘A comparative study of texture measures with classification based on feature distributions’’, In Pattern Recognition, Vol 29, 1996, pp. 51–5910.1016/0031-3203(95)00067-4Search in Google Scholar
Ojala, T., Pietikainen, M., and Maenpaa, T, ‘‘Multiresolution gray-scale and rotation invariant texture classification with local binary patterns’’, Vol 24, no. 7, 2002, pp. 971–987.10.1109/TPAMI.2002.1017623Search in Google Scholar
Ahonen, T., Hadid, A., and Pietikäinen, M.,’’Face description with local binary patterns : application to face recognition’’, IEEE Trans Pattern Anal Mach Intell, Vol 28, no. 12, 2006, pp. 2037–2041.10.1109/TPAMI.2006.24417108377Search in Google Scholar
Tan, X. and Triggs, B, ‘‘Enhanced local texture feature sets for face recognition under difficult lighting conditions’’, In IEEE Conf. on AMFG, 2007, pp. 168 –182.10.1007/978-3-540-75690-3_13Search in Google Scholar
Kolesnik, M. and Fexa, A, ‘‘Multi-dimensional color histograms for segmentation of wounds in images’’, Lecture Notes in Computer Science, Vol 3656, 2005, pp. 1014–1022.10.1007/11559573_123Search in Google Scholar
Swain, M. and Ballard, D, ‘‘Color indexin’’, International Journal of Computer Vision (IJCV), Vol 7, no. 1, 1991, pp. 11–32.10.1007/BF00130487Search in Google Scholar
. Huang, J., Kumar, S., Mitra, M., Zhu, W.-J., and Zabih, R, ‘‘Image indexing using color correlograms’’, In Proc IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 762–768.Search in Google Scholar
Messing, D., van Beek P., and Errico, J, ‘‘The mpeg-7 colour structure descriptor : image description using colour and local spatial information’’, In Proc. International Conference on Image Processing, Vol 1, 2001, pp. 670–673.Search in Google Scholar
Boujemaa, N. and Vertan, C, ‘‘Upgrading color distributions for image retrieval : can we do better ? In Proc’’, of International Conference on Visual Information System (VIS00), 2000, pp. 178–188.10.1007/3-540-40053-2_16Search in Google Scholar
Vertan, C. and Boujemaa, N, ‘‘Embedding fuzzy logic in content based image retrieval’’, In Proc. NAFIPS Fuzzy Information Processing Society 19th International Conference of the North American, 2000, pp. 85–89.Search in Google Scholar
Zhao, R. and Grosky, W, ‘‘From features to semantics : some preliminary results’’, In Proc. IEEE International Conference on Multimedia and Expo ICME 2000, Vol 2, 2000, pp. 679–682Search in Google Scholar
Smith, J. R. and Chang, S. F, ‘‘Tools and techniques for color image retrieval’’, In IST/SPIE Proceedings, 1996, pp. 426–437.10.1117/12.234781Search in Google Scholar
Carson, C., Belongie, S., Greenspan, H., and Malik, J, ‘‘Blobworld : image segmentation using expectation-maximization and its application to image querying’’, IEEE Trans on Pattern Anal and Machine Intill. (PAMI), Vol 24, no. 8, 2002, pp.1026–103810.1109/TPAMI.2002.1023800Search in Google Scholar
C. Cortes and V. Vapnik ,”Support-vector network,” Mach. Learn., Vol 20,1995, pp. 273– 297.10.1007/BF00994018Search in Google Scholar
V. Caselles, J. L. Lisani, J. M. Morel, and G. Sapiro, “Shape preserving local histogram modification”, IEEE Trans. on Image Processing, Vol 8, 1999, pp. 220–229.10.1109/83.74385618267469Search in Google Scholar
D. Sen and P. Sankar,” Automatic exact histogram specification for contrast enhancement and visual system based quantitative evaluation “, IEEE Trans. on Image Processing, Vol 20, 2011, pp. 1211–1220.10.1109/TIP.2010.208367620923736Search in Google Scholar
D. Coltuc, P. Bolon, and J.-M. Chassery, “Exact histogram specification “, IEEE Trans. on Image Processing, Vol 15, 2006, pp. 1143–1152.10.1109/TIP.2005.864170Search in Google Scholar
E. L. Hall, “Almost uniform distributions for computer image enhancement “, IEEE Transactions on Computers, Vol 23, 1974, pp. 207–208.10.1109/T-C.1974.223892Search in Google Scholar
Y. Wan and D. Shi, “Joint exact histogram specification and image enhancement through the wavelet transform”, IEEE Trans. on Image Processing, Vol 16, 2007, pp. 2245–2250.10.1109/TIP.2007.902332Search in Google Scholar
M. Nikolova, Y. Wen, and R. Chan,” Exact histogram specification for digital images using a variational approach “, J. of Mathematical Imaging and Vision, 2012, pp. 1-1710.1007/s10851-012-0401-8Search in Google Scholar
B. Boser, I. Guyon, and V. Vapnik, “A training algorithm for optimal margin classifiers,” in Proc. 5th Annu. Workshop on Computational Learning Theory, 1992, pp.144-152.10.1145/130385.130401Search in Google Scholar
T. Joachims, ‘‘Making large-scale support vector machine learning practical, In A. Smola B. Scholkopf, C. Burges, editor, Advances in Kernel Methods : Support Vector Machines”, editors IEEE transactions on information theory, Vol 44, no.2, MIT Press, Cambridge, MA, 1998, pp. 525-536;10.7551/mitpress/1130.003.0015Search in Google Scholar
E.Osuna, R. Freund, and F. Girosi, ‘‘Training Support Vector Machines: an Application to Face Detection’’, roceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR ‘97), New York, 1997, pp.130-136.Search in Google Scholar
T.Joachims, ‘‘Making large-scale support vector machine learning practical, In A. Smola B. Scholkopf, C. Burges, editor, Advances in Kernel Methods : Support Vector Machines”, Cambridge, MIT Press, MA, USA, 1999, pp. 169-18410.7551/mitpress/1130.003.0015Search in Google Scholar
