Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors
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[1] Tae-Seong Kim,et al. Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home , 2012, IEEE Transactions on Consumer Electronics.
[2] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[3] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[4] Andrés Pérez-Uribe,et al. Indoor Activity Recognition by Combining One-vs.-All Neural Network Classifiers Exploiting Wearable and Depth Sensors , 2013, IWANN.
[5] Jake K. Aggarwal,et al. Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Nasser Kehtarnavaz,et al. Home-based Senior Fitness Test measurement system using collaborative inertial and depth sensors , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[7] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[8] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[9] Mi Zhang,et al. Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors , 2013, IEEE Journal of Biomedical and Health Informatics.
[10] Ying Wu,et al. Robust 3D Action Recognition with Random Occupancy Patterns , 2012, ECCV.
[11] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Zicheng Liu,et al. HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Chen Chen,et al. Compressed-sensing recovery of images and video using multihypothesis predictions , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[14] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Nasser Kehtarnavaz,et al. Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition , 2014, IEEE Sensors Journal.
[16] A. Rosenfeld,et al. IEEE TRANSACTIONS ON SYSTEMS , MAN , AND CYBERNETICS , 2022 .
[17] Katsunori Ikoma,et al. Obituary: Yukio Mano (1943–2004) , 2005, Journal of NeuroEngineering and Rehabilitation.
[18] Thierry Denoeux,et al. An evidence-theoretic k-NN rule with parameter optimization , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[19] Aleksandar Milenkovic,et al. Journal of Neuroengineering and Rehabilitation Open Access a Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation , 2005 .
[20] Ivan Laptev,et al. On Space-Time Interest Points , 2005, International Journal of Computer Vision.
[21] Wanqing Li,et al. Action recognition based on a bag of 3D points , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[22] Yao-Jen Chang,et al. A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities. , 2011, Research in developmental disabilities.
[23] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Ruzena Bajcsy,et al. Berkeley MHAD: A comprehensive Multimodal Human Action Database , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).
[25] Bogdan Kwolek,et al. Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer , 2012, ICAISC.
[26] Chen Chen,et al. Single-image super-resolution using multihypothesis prediction , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[27] Thierry Denoeux. A k -Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory , 2008, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[28] Lei Zhang,et al. Sparse representation or collaborative representation: Which helps face recognition? , 2011, 2011 International Conference on Computer Vision.
[29] Nasser Kehtarnavaz,et al. Real-time human action recognition based on depth motion maps , 2016, Journal of Real-Time Image Processing.
[30] R. Bajcsy,et al. Wearable Sensors for Reliable Fall Detection , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[31] Ilkka Korhonen,et al. Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions , 2008, IEEE Transactions on Information Technology in Biomedicine.
[32] Chen Chen,et al. Reconstruction of Hyperspectral Imagery From Random Projections Using Multihypothesis Prediction , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[33] Yue Min Zhu,et al. Study of Dempster-Shafer theory for image segmentation applications , 2002, Image Vis. Comput..
[34] Cristina Videira Lopes,et al. Monitoring Intake Gestures using Sensor Fusion (Microsoft Kinect and Inertial Sensors) for Smart Hom , 2012 .
[35] Xiaodong Yang,et al. Recognizing actions using depth motion maps-based histograms of oriented gradients , 2012, ACM Multimedia.
[36] Nasser Kehtarnavaz,et al. A medication adherence monitoring system for pill bottles based on a wearable inertial sensor , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[37] Fakhri Karray,et al. Connectionist-based Dempster-Shafer evidential reasoning for data fusion , 2005, IEEE Transactions on Neural Networks.
[38] Tae-Seong Kim,et al. A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer , 2010, IEEE Transactions on Information Technology in Biomedicine.