BIBLIOGRAFIA GENERALE CAPITOLO I

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BIBLIOGRAFIA

GENERALE

CAPITOLO I

[1] Attilio Sacripanti, “La Match Analysis – Fondamenti scientifici e metodologici della Match Analysis (parte prima)”- Scienza dell’allenamento (online),

http://it.scribd.com/doc/8074241/match-analysis-I

[2] Attilio Sacripanti, “La Match Analysis – Parte seconda: Fondamenti scientifici e metodologici della Match Analysis ”- Scienza dell’allenamento

(online),

http://it.scribd.com/doc/8074528/match-analysis-II

CAPITOLO II

[1] Andrea Bulling, Ulf Blanke, Bernt Schiele, “A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors” (online),

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http://perceptual.mpi-inf.mpg.de/files/2013/10/bulling13_csur.pdf, Giugno 2013

[2] Bastian Hartmann, “Human Worker Activity Recognition in Industrial Environments” (online), http://books.google.it/, Febbraio 2011

[3] Yu-Jin Hong, Ig-Jae Kim, Sang Chul Ahn, Hyoung-Gon Kim , “Activity Recognition using Wearable Sensors for Elder Care” (online), http://www.researchgate.net/publication/220984 660_Activity_Recognition_Using_Wearable_Sensor s_for_Elder_Care

[4] Julien Pansiot, Danail Stoyanov, Douglas McIlwraith, Benny P.L. Lo, G. Z. Yang, “Ambient and Wearable Sensor Fusion for Activity

Recognition in Healthcare Monitoring Systems” (online),

http://julien.pansiot.org/papers/2007_Pansiot_B SN_Fusion.pdf

[5] Shu Chen, Yan Huang, “Recognizing Human Activities from Multi-Modal Sensors” (online), http://www.cse.unt.edu/~huangyan/papers/hu manActivity.pdf, Giugno 2009

[6] Wikipedia, “Computer Vision” (online),

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[7] Sushmita Mitra, Tinku Acharya, “Gesture recognition” (online),

http://cs.nccu.edu.tw/~whliao/hcie2007/gesture _recognition.pdf, Maggio 2007

[8] Pavan Turaga, Octavian Udrea, “Machine

Recognition of Human Activities: A Survey” (online), http://www.umiacs.umd.edu/~pturaga/papers/s urvey_final.pdf

[9] Wikipedia, “Motion Capture” (online),

http://en.wikipedia.org/wiki/Motion_capture

[10] Wikipedia, “Match moving” (online), http://en.wikipedia.org/wiki/Match_moving

[11] Wikipedia, “Video tracking” (online), http://en.wikipedia.org/wiki/Video_tracking

[12] Wikipedia, “Microsoft Kinect” (online), http://it.wikipedia.org/wiki/Microsoft_Kinect

[13] Sito Ufficiale Nike (online),

http://www.nike.com/it/it_it/?cp=EUNS_KW_IT_ 1_Brand_Core_Nike

[14] MEMs and Sensors – STMicroelectronics (online),

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/FM89?icmp=fm89_pron_memsx2_sep2013&sc= mems-x2

[15] Young-Seol Lee, Sung–Bae Cho, “Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer” (online),

https://www.yumpu.com/en/document/view/19 140386/activity-recognition-using-hierarchical-hidden-markov-models-on-a-

[16] Wikipedia, “Wireless sensor network” (online), http://it.wikipedia.org/wiki/Wireless_sensor_net work

[17] Sito Ufficiale Nintendo (online), http://www.nintendo.it/

[18] Daniel Roetenberg, Henk Luinge, Per Slycke, “Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors” (online),

http://www.xsens.com/wp-content/uploads/2013/12/MVN_white_paper1.pd f

[19] Sito ufficiale XSens, “MVN BIOMECH 3D human kinematics” (online),

http://www.xsens.com/wp- content/uploads/2013/11/mvn-biomech-leaflet.pdf

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[20] Daniel Ashbrook and Thad Starner, “Using GPS to Learn Significant Locations and Predict Movement Across Multiple Users” (online),

http://www.cc.gatech.edu/~thad/p/journal/usin g-gps-to-learn-significant-locations.pdf

[21] Wikipedia, “Macchine a vettori di supporto” (online),

http://en.wikipedia.org/wiki/Macchine_a_vettori_ di_supporto

[22] Wikipedia, “Machine Learning” (online), http://en.wikipedia.org/wiki/Machine_learning

[23] Wikipedia, “K-means” (online), http://it.wikipedia.org/wiki/K-means

[24] Paolo medici, “Il teorema di Bayes” (online), http://www.ce.unipr.it/people/medici/geometry/ node78.html

[25] Sean R Eddy, “What is an hidden Markov models?” (online),

http://www.nature.com/nbt/journal/v22/n10/fu ll/nbt1004-1315.html , 1 Novembre 2004

[26] Wikipedia, “Albero di decisione” (online), http://it.wikipedia.org/wiki/Albero_di_decisione

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[27] Tesi di Dottorato di Rossana Muscillo, “Tecniche di classificazione e predizione delle attività motorie per telemonitoraggio e tele riabilitazione” (online),

http://dspace-roma3.caspur.it/bitstream/2307/654/1/Tecniche diclassificazioneepredizionedelleattivitamotoriepert .pdf, 8 Marzo 2010

[28] Eduardo Velloso, Andrea Bulling, Hans Gellersen, Wallace Ugulino, Hugo Fuks,

“Qualitative Activity Recognition of Weight Lifting Exercises” (online),

http://perceptual.mpi-inf.mpg.de/files/2013/03/velloso13_ah.pdf

CAPITOLO III

[1] Wikipedia, “Mote” (online), http://it.wikipedia.org/wiki/Mote

[2] Sito Ufficiale Advanticsys, “Telosb MTM-CM3000” (online),

http://www.advanticsys.com/shop/mtmcm3000 msp-p-6.html

[3] Sito Ufficiale Advanticsys, “Interface MTI-USB1000” (online),

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http://www.advanticsys.com/shop/mtiusb1000-p-9.html

[4] Sito Ufficiale Advanticsys, “Sensor board MTS-EM1000” (online),

http://www.advanticsys.com/shop/mtsem1000-p-12.html

[5] Sito Ufficiale Memsic, “IRIS-Memsic” (online),

http://www.memsic.com/wireless-sensor-networks/

[6] “Analog Device - Low-Cost _2 g Dual-Axis Accelerometer with Duty Cycle Output” (online), http://www.analog.com/static/imported-files/data_sheets/ADXL202E.pdf

[7] Sito ufficiale, “TinyOS” (online), http://www.tinyos.net/

[8] Wikipedia, “Ubiquitous computing” (online), http://it.wikipedia.org/wiki/Ubiquitous_computi ng

[9] Wikipedia, “Personal area network” (online), http://it.wikipedia.org/wiki/Personal_Area_Netwo rk

[10] Sito ufficiale TIBCO, “Building a smart infrastructure” (online),

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http://www.tibco.com/assets/blt0957eb3aaca1b b2b/wp-smart-metering.pdf

[11] Philip Levis, “TinyOS Programming” (online),

http://tinyos.stanford.edu/tinyos-wiki/index.php/Main_Page Ottobre 27, 2006

[12] David Gay, Philip Levis, David Culler, Eric Brewer, “nesC 1.3 Language Reference Manual” (online), http://tinyos.stanford.edu/tinyos-wiki/index.php/Main_Page

Luglio 2009

[13] Wikipedia, “NesC” (online), http://it.wikipedia.org/wiki/NesC

CAPITOLO IV

[1] Paul Bourke, “Cross Correlation” (online), http://paulbourke.net/miscellaneous/correlate/, Agosto 1996

[2] Pavel Senin, “Dynamic Time Warping Algorithm Review” (online),

http://www2.hawaii.edu/~senin/assets/papers/ DTW-review2008draft.pdf, Dicembre 2008

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[3] H.Cruse, “An Application of the Cross-Correlation Coefficient to Pattern recognition of Honey Bees” (online),

http://pub.uni-bielefeld.de/luur/download?func=downloadFile&r ecordOId=1781266&fileOId=2313249

[4] Kaysa Nyberg, “Correlation theorems in cryptanalysis” (online),

http://www.sciencedirect.com/science/article/pii /S0166218X00003516

[5] Adam Świtoński, Agnieszka Michalczuk, Henryk Josiński, Andrzej Polański, and Konrad Wojciechowski, “Dynamic Time Warping In Gait Classification of Motion Capture Data” (online), http://waset.org/publications/14952/dynamic- time-warping-in-gait-classificationof-motion-capture-data, Novembre 2012

[6] John Aach and George M. Church, “Aligning gene expression time series with time Warping algorithms” (online),

http://bioinformatics.oxfordjournals.org/content/ 17/6/495.full.pdf+html

[7] Titus Felix, “Dynamic Programming Algorithms in Speech Recognition” (online),

http://revistaie.ase.ro/content/46/s%20-%20furtuna.pdf

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[8] Hiroaki Sakoe, Seibi Chiba, “Dynamic

Programming Algorithm Optimization for Spoken Word Recognition” (online),

http://wenku.baidu.com/view/b112ca966bec097 5f465e251.html, Febbraio 1978

[9] Pau Micò, “Continuous Time Warping” (online), http://www.mathworks.com/matlabcentral/fileex

change/16350-continuous-dynamic-time-warping/content/dtw.m , aggiornata il 21 aprile 2008

[10] Seon Jeong, MyongK.Jeong, Olufemi A. Omitaomu, “Weighted dynamic time warping for time series classification” (online),

http://www.sciencedirect.com/science/article/pii /S003132031000484X

[11] Eamonn J. Keogh, Michael J. Pazzani, “Derivative Dynamic Time Warping” (online),

http://epubs.siam.org/doi/pdf/10.1137/1.97816 11972719.1

[12] Beatrice Lazzerini, “Introduzione alle Reti Neurali” (online),

http://info.iet.unipi.it/~lazzerini/sisd/Reti.pdf

[13] G. Masala, “Introduzione ai sistemi di classificazione con reti neurali” (online),

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http://matfis.uniss.it/masala/bioinfo/reti%20ne urali_tutorial_gia.pdf

[14] Wikipedia, “Rete neurale” (online), http://it.wikipedia.org/wiki/Rete_neurale

[15] Scholarpedia, “Echo state network” (online), http://www.scholarpedia.org/article/Echo_state_ network

[16] H. Jaeger and H. Haas, “Harnessing nonlinearity: Predicting chaotic

systems and saving energy in wireless communication”, Science, vol.

304, pp. 78-80, 2004

[17] C. Gallicchio, A. Micheli, “Architectural and markovian factors of echo state networks Neural Networks”, 24 (5),pp. 440-456, 2011

[18] U D Schiller and J J Steil. Neurocomputing, “Analyzing the weight dynamics of recurrent learning algorithms.” (online),

http://www.sciencedirect.com/science/article/pii/ S0925231204003145

[19] P F Dominey. “Complex sensory-motor sequence learning based on recurrent

state representation and reinforcement learning” (online),

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http://organic.elis.ugent.be/sites/organic.elis.uge nt.be/files/dominey1995biocyber.pdf

CAPITOLO V

[1] Wikipedia, “RSSI” (online),

http://en.wikipedia.org/wiki/Received_signal_stre ngth_indication

[2] Sito Ufficiale PostgresSQL (online), http://www.postgresql.org/

[3] Sito Ufficiale MathWorks (online),

http://www.mathworks.it/products/matlab/

[4] Wikipedia, “Moving Average” (online),

http://en.wikipedia.org/wiki/Moving_average

[5] D. Bacciu, P. Barsocchi, S. Chessa, C. Gallicchio, and A. Micheli, “An

experimental characterization of reservoir computing in ambient assisted

living applications”, Neural Computing and Applications, vol. 24 (6), pp. 1451-1464, 2014

[6] F. Palumbo, P. Barsocchi, C. Gallicchio, S. Chessa, and A. Micheli, “Multisensor data fusion for activity recognition based on reservoir

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computing”, in Evaluating AAL Systems Through Competitive Benchmarking, ser. Communications in Computer and Information Science,

J. BotÂ, J. Alvarez-Garcia, K. Fujinami, P. Barsocchi, and T. Riedel, Eds. Springer Berlin Heidelberg, 2013, vol. 386, pp. 24-35

[7] Sito dell’Università di Pisa, “Reti robotiche per assistere gli anziani e i disabili” (online),

http://www.unipi.it/index.php/amministrazione/ item/449-reti-robotiche-per-assistere-gli-anziani-e-i-disabili?tmpl=component&print=1

[8] Wikipedia, “Cross-validation (statistics)” (online), http://en.wikipedia.org/wiki/Cross-validation_(statistics)