One Small Step for a Man: Estimation of Gender, Age and Height from Recordings of One Step by a Single Inertial Sensor
暂无分享,去创建一个
Björn Krüger | Qaiser Riaz | Andreas Weber | Anna Vögele | A. Weber | Björn Krüger | Anna Vögele | Qaiser Riaz | A. Weber
[1] Yasushi Makihara,et al. Gait-based age estimation using a whole-generation gait database , 2011, 2011 International Joint Conference on Biometrics (IJCB).
[2] Gary M. Weiss,et al. Activity recognition using cell phone accelerometers , 2011, SKDD.
[3] Catrine Tudor-Locke,et al. Comparison of pedometer and accelerometer accuracy under controlled conditions. , 2003, Medicine and science in sports and exercise.
[4] H. S. Wolff,et al. iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.
[5] Tao Liu,et al. Gait Analysis Using Wearable Sensors , 2012, Sensors.
[6] Gilles Louppe,et al. Understanding variable importances in forests of randomized trees , 2013, NIPS.
[7] Mathieu Barnachon,et al. Ongoing human action recognition with motion capture , 2014, Pattern Recognit..
[8] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[9] Patrick Bours,et al. Gait and activity recognition using commercial phones , 2013, Comput. Secur..
[10] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .
[11] Wiebren Zijlstra,et al. Assessment of spatio-temporal parameters during unconstrained walking , 2004, European Journal of Applied Physiology.
[12] Patrick Pérez,et al. View-Independent Action Recognition from Temporal Self-Similarities , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[14] Gentiane Venture,et al. Motion capture based identification of the human body inertial parameters , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[15] Christoph Busch,et al. Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.
[16] Ying Wah Teh,et al. Mining Personal Data Using Smartphones and Wearable Devices: A Survey , 2015, Sensors.
[17] Hans-Peter Seidel,et al. Motion reconstruction using sparse accelerometer data , 2011, TOGS.
[18] Gwenn Englebienne,et al. Classifying social actions with a single accelerometer , 2013, UbiComp.
[19] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[20] Ramakant Nevatia,et al. Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Adrian Hilton,et al. A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..
[22] Kenton R Kaufman,et al. Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure. , 2005, Preventive medicine.
[23] David A. Forsyth,et al. Skeletal parameter estimation from optical motion capture data , 2004, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[24] Karon E. MacLean,et al. Real-time gait classification for persuasive smartphone apps: structuring the literature and pushing the limits , 2013, IUI '13.
[25] Scott E. Umbaugh,et al. Digital image processing and analysis : human and computer vision applications with CVIPtools , 2011 .
[26] Alex Pentland,et al. Coupled hidden Markov models for complex action recognition , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[27] Dae-Hyeong Kim,et al. Multifunctional wearable devices for diagnosis and therapy of movement disorders. , 2014, Nature nanotechnology.
[28] V. von Tscharner,et al. Subspace Identification and Classification of Healthy Human Gait , 2013, PloS one.
[29] Björn Krüger,et al. Motion reconstruction using very few accelerometers and ground contacts , 2015, Graph. Model..
[30] Wiebren Zijlstra,et al. Detection of gait and postures using a miniaturised triaxial accelerometer-based system: accuracy in community-dwelling older adults. , 2010, Age and ageing.
[31] Martin J. Russell,et al. Intelligent Assistive System Using Real-Time Action Recognition for Stroke Survivors , 2014, 2014 IEEE International Conference on Healthcare Informatics.
[32] Darryl Stewart,et al. Gender classification via lips: static and dynamic features , 2013, IET Biom..
[33] Konrad Paul Kording,et al. Fall Classification by Machine Learning Using Mobile Phones , 2012, PloS one.
[34] David A. Hawkins,et al. Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor , 2012, PloS one.
[35] B. Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[36] Carl-Erik Särndal,et al. Model Assisted Survey Sampling , 1997 .
[37] Dan Morris,et al. RecoFit: using a wearable sensor to find, recognize, and count repetitive exercises , 2014, CHI.
[38] Feng Zhao,et al. A reliable and accurate indoor localization method using phone inertial sensors , 2012, UbiComp.
[39] Johannes Peltola,et al. Activity classification using realistic data from wearable sensors , 2006, IEEE Transactions on Information Technology in Biomedicine.
[40] N. Troje. Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. , 2002, Journal of vision.
[41] Andrew Gilbert,et al. Capturing relative motion and finding modes for action recognition in the wild , 2014, Comput. Vis. Image Underst..
[42] Thomas Phan,et al. Improving activity recognition via automatic decision tree pruning , 2014, UbiComp Adjunct.