An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications
暂无分享,去创建一个
[1] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Cheng Li,et al. Pixel-Level Hand Detection in Ego-centric Videos , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Aaron M. Dollar,et al. Analyzing at-home prosthesis use in unilateral upper-limb amputees to inform treatment & device design , 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).
[4] C. V. Jawahar,et al. First Person Action Recognition Using Deep Learned Descriptors , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] G. Scivoletto,et al. A multicenter international study on the Spinal Cord Independence Measure, version III: Rasch psychometric validation , 2007, Spinal Cord.
[6] H. Krueger,et al. The economic burden of traumatic spinal cord injury in Canada. , 2013, Chronic diseases and injuries in Canada.
[7] Stefan Lee,et al. Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] W. Donovan,et al. International Standards For Neurological Classification Of Spinal Cord Injury , 2003, The journal of spinal cord medicine.
[9] Horst Bischof,et al. Real-Time Tracking via On-line Boosting , 2006, BMVC.
[10] David J. Reinkensmeyer,et al. The Manumeter: A Wearable Device for Monitoring Daily Use of the Wrist and Fingers , 2014, IEEE Journal of Biomedical and Health Informatics.
[11] K. Anderson. Targeting recovery: priorities of the spinal cord-injured population. , 2004, Journal of neurotrauma.
[12] H. Rodgers,et al. Accelerometer measurement of upper extremity movement after stroke: a systematic review of clinical studies , 2014, Journal of NeuroEngineering and Rehabilitation.
[13] Yingjie Cai,et al. Multiple Object Tracking Based on Faster-RCNN Detector and KCF Tracker , 2016 .
[14] Aaron M. Dollar,et al. Grasp Frequency and Usage in Daily Household and Machine Shop Tasks , 2013, IEEE Transactions on Haptics.
[15] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[16] Jirapat Likitlersuang,et al. Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home , 2019, Journal of NeuroEngineering and Rehabilitation.
[17] Andrew Zisserman,et al. Detect to Track and Track to Detect , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] James M. Rehg,et al. Learning to recognize objects in egocentric activities , 2011, CVPR 2011.
[19] Christine E. King,et al. Wearable Wireless Sensors for Rehabilitation , 2016 .
[20] Ninja P. Oess,et al. Design and evaluation of a low-cost instrumented glove for hand function assessment , 2012, Journal of NeuroEngineering and Rehabilitation.
[21] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[22] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] M. Granat,et al. Upper limb activity of twenty myoelectric prosthesis users and twenty healthy anatomically intact adults , 2019, Scientific Data.
[24] Andrei Krassioukov,et al. International standards for neurological classification of spinal cord injury, revised 2011. , 2012, Topics in spinal cord injury rehabilitation.
[25] Michifumi Yoshioka,et al. Cooking activities recognition in egocentric videos using hand shape feature with openpose , 2018, CEA@IJCAI.
[26] Matthias Rauterberg,et al. A Dynamic Approach and a New Dataset for Hand-detection in First Person Vision , 2015, CAIP.
[27] Frédéric Lerasle,et al. A comparative view on exemplar ‘tracking-by-detection’ approaches , 2015, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[29] Stefan Roth,et al. People-tracking-by-detection and people-detection-by-tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Subhas Chandra Mukhopadhyay,et al. Wearable Sensors for Human Activity Monitoring: A Review , 2015, IEEE Sensors Journal.
[31] Ming-Hsuan Yang,et al. Visual tracking with online Multiple Instance Learning , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Roger Gassert,et al. Monitoring Upper Limb Recovery after Cervical Spinal Cord Injury: Insights beyond Assessment Scores , 2016, Front. Neurol..
[33] Rui Caseiro,et al. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels , 2012, ECCV.
[34] Kris M. Kitani,et al. How do we use our hands? Discovering a diverse set of common grasps , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Paolo Bonato,et al. The Use of a Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings , 2019, IEEE Journal of Biomedical and Health Informatics.
[36] M. Popovic,et al. The Graded Redefined Assessment of Strength Sensibility and Prehension: reliability and validity. , 2012, Journal of neurotrauma.
[37] José Zariffa,et al. Views of individuals with spinal cord injury on the use of wearable cameras to monitor upper limb function in the home and community , 2017, The journal of spinal cord medicine.
[38] Jiri Matas,et al. Forward-Backward Error: Automatic Detection of Tracking Failures , 2010, 2010 20th International Conference on Pattern Recognition.
[39] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Shyamal Patel,et al. A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.
[41] Jirapat Likitlersuang,et al. Interaction Detection in Egocentric Video: Toward a Novel Outcome Measure for Upper Extremity Function , 2018, IEEE Journal of Biomedical and Health Informatics.
[42] Horst Bischof,et al. On-line Boosting and Vision , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[43] Silvio Savarese,et al. Learning to Track at 100 FPS with Deep Regression Networks , 2016, ECCV.
[44] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).