Hand contour detection in wearable camera video using an adaptive histogram region of interest

Journal of NeuroEngineering and Rehabilitation

Volumn 10, Issue 1, 2013, Pages

  Zariffa, José ^a,b   Popovic, Milos R ^a,b  

^a TORONTO REHABILITATION INSTITUTE   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

Colour histogram; Hand contour; Hand function; Neuro rehabilitation; Wearable system

Indexed keywords

ALGORITHM; ARTICLE; CAMERA; COLOR; COMPUTER; DAILY LIFE ACTIVITY; HAND FUNCTION; HISTOGRAM; IMAGE PROCESSING; MONITOR; SKIN; VIDEORECORDING; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER INTERFACE; HAND; HUMAN; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HAND; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; USER-COMPUTER INTERFACE; VIDEO RECORDING;

EID: 84890410050     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-10-114     Document Type: Article

References (42)

1. Targeting recovery: priorities of the spinal cord-injured population. Anderson KD, J Neurotrauma 2004 21 1371 1383 10.1089/neu.2004.21.1371 15672628 (Pubitemid 39435314)
2. Pharmacological interventions for spinal cord injury: where do we stand? How might we step forward? Rabchevsky AG, Patel SP, Springer JE, Pharmacol Ther 2011 132 15 29 10.1016/j.pharmthera.2011.05.001 21605594
3. Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. Wolf SL, Winstein CJ, Miller JP, Taub E, Uswatte G, Morris D, Giuliani C, Light KE, Nichols-Larsen D, EXCITE Investigators, JAMA 2006 296 2095 2104 10.1001/jama.296.17.2095 17077374 (Pubitemid 44664704)
4. Functional electrical stimulation therapy of voluntary grasping versus only conventional rehabilitation for patients with subacute incomplete tetraplegia: a randomized clinical trial. Popovic MR, Kapadia N, Zivanovic V, Furlan JC, Craven BC, McGillivray C, Neurorehabil Neural Repair 2011 25 433 442 10.1177/1545968310392924 21304020
5. An implanted upper-extremity neuroprosthesis using myoelectric control. Kilgore KL, Hoyen HA, Bryden AM, Hart RL, Keith MW, Peckham PH, J Hand Surg 2008 33 539 10.1016/j.jhsa.2008.01.007 (Pubitemid 351491502)
6. Rehabilitation of reaching and grasping function in severe hemiplegic patients using functional electrical stimulation therapy. Thrasher TA, Zivanovic V, McIlroy W, Popovic MR, Neurorehabil Neural Repair 2008 22 706 714 10.1177/1545968308317436 18971385
7. Robot-assisted therapy for long-term upper-limb impairment after stroke. Lo AC, Guarino PD, Richards LG, Haselkorn JK, Wittenberg GF, Federman DG, Ringer RJ, Wagner TH, Krebs HI, Volpe BT, Bever CT Jr, Bravata DM, Duncan PW, Corn BH, Maffucci AD, Nadeau SE, Conroy SS, Powell JM, Huang GD, Peduzzi P, N Engl J Med 2010 362 1772 1783 10.1056/NEJMoa0911341 20400552
8. Feasibility and efficacy of upper limb robotic rehabilitation in a subacute cervical spinal cord injury population. Zariffa J, Kapadia N, Kramer JL, Taylor P, Alizadeh-Meghrazi M, Zivanovic V, Willms R, Townson A, Curt A, Popovic MR, Steeves JD, Spinal Cord 2011 50 220 226 21912402
9. Development of the Graded Redefined Assessment of Strength, Sensibility and Prehension (GRASSP): reviewing measurement specific to the upper limb in tetraplegia. Kalsi-Ryan S, Curt A, Verrier MC, Fehlings MG, J Neurosurg Spine 2012 17 65 76 22985372
10. A quantitative test of upper extremity function. Carroll D, J Chronic Dis 1965 18 479 491 10.1016/0021-9681(65)90030-5 14293031
11. An objective and standardized test of hand function. Jebsen RH, Taylor N, Trieschmann RB, Trotter MJ, Howard LA, Arch Phys Med Rehabil 1969 50 311 319 5788487
12. Sollerman hand function test. A standardised method and its use in tetraplegic patients. Sollerman C, Ejeskar A, Scand J Plast Reconstr Surg Hand Surg 1995 29 167 176 10.3109/02844319509034334 7569815
13. Development of a quantitative hand grasp and release test for patients with tetraplegia using a hand neuroprosthesis. Wuolle KS, Van Doren CL, Thrope GB, Keith MW, Peckham PH, J Hand Surg [Am] 1994 19 209 218 10.1016/0363-5023(94) 90008-6 8201183 (Pubitemid 24105109)
14. Toronto Rehabilitation Institute-hand function test: assessment of gross motor function in individuals with spinal cord injury. Kapadia N, Zivanovic V, Verrier M, Popovic MR, Top Spinal Cord Inj Rehabil 2012 18 167 186 10.1310/sci1802-167 23459270
15. A review of wearable sensors and systems with application in rehabilitation. Patel S, Park H, Bonato P, Chan L, Rodgers M, J Neuroeng Rehabil 2012 9 21 10.1186/1743-0003-9-21 22520559
16. Robust hand detection. Kölsch M, Turk M, Proc. IEEE Intl. Conference on Automatic Face and Gesture Recognition 2004 614 619 10.1109/AFGR.2004. 1301601
17. Automatic 2D hand tracking in video sequences. Yuan Q, Sclaroff S, Athitsos V, Application of Computer Vision, 2005. WACV/MOTIONS'05 Volume 1. Seventh IEEE Workshops On 2005 250 256 10.1109/ACVMOT.2005
18. Fast invariant contour-based classification of hand symbols for HCI. Bader T, Räpple R, Beyerer J, Computer Analysis of Images and Patterns Springer Berlin Heidelberg 2009 689 696
19. Smart particle filtering for 3D hand tracking. Bray M, Koller-Meier E, Van Gool L, Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference On 2004 675 680 10.1109/AFGR.2004.1301612
20. Partitioned sampling, articulated objects, and interface-quality hand tracking. MacCormick J, Isard M, Computer Vision-ECCV 2000 Springer Berlin Heidelberg 2000 3 19
21. Visual tracking of bare fingers for interactive surfaces. Letessier J, Bérard F, Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology 2004 119 122 10.1145/1029632.1029652 (Pubitemid 40787672)
22. Real-time 3D hand posture estimation based on 2D appearance retrieval using monocular camera. Shimada N, Kimura K, Shirai Y, Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001. Proceedings. IEEE ICCV Workshop On 2001 23 30 10.1109/RATFG.2001.938906
23. Efficient model-based 3D tracking of hand articulations using Kinect. Oikonomidis I, Kyriazis N, Argyros AA, BMVC 2011 1 11 http://dx.doi.org/10.5244/ C.25.101
24. Vision-based hand pose estimation: a review. Erol A, Bebis G, Nicolescu M, Boyle RD, Twombly X, Comput Vis Image Underst 2007 108 52 73 10.1016/j.cviu.2006.10.012 (Pubitemid 47333390)
25. Model-based hand tracking with texture, shading and self-occlusions. de La Gorce M, Paragios N, Fleet DJ, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference On 2008 1 8
26. 3D model-based hand tracking using stochastic direct search method. Lin JY, Wu Y, Huang TS, Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference On 2004 693 698
27. Model-based hand pose estimation via spatial-temporal hand parsing and 3D fingertip localization. Liang H, Yuan J, Thalmann D, Zhang Z, Vis Comput 2013 29 837 848 10.1007/s00371-013-0822-4
28. Visual hand tracking using nonparametric belief propagation. Sudderth EB, Mandel MI, Freeman WT, Willsky AS, Computer Vision and Pattern Recognition Workshop, 2004. CVPRW'04. Conference On 2004 189 189
29. Tracking a hand manipulating an object. Hamer H, Schindler K, Koller-Meier E, Van Gool L, Computer Vision, 2009 IEEE 12th International Conference On 2009 1475 1482
30. A robust hand tracking for gesture-based interaction of wearable computers. Liu Y, Jia Y, Wearable Computers, 2004. ISWC 2004. Eighth International Symposium On 2004 22 29 (Pubitemid 40701046)
31. Real-time american sign language recognition using desk and wearable computer based video. Starner T, Weaver J, Pentland A, IEEE Transactions On Pattern Analysis and Machine Intelligence 1998 20 1371 1375 10.1109/34.735811 (Pubitemid 128741382)
32. Wearable hand activity recognition for event summarization. Mayol W, Murray D, Wearable Computers, 2005. Proceedings. Ninth IEEE International Symposium On 2005 122 129 (Pubitemid 44867504)
33. Temporal segmentation and activity classification from first-person sensing. Spriggs EH, De La Torre F, Hebert M, Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference On 2009 17 24
34. Detecting activities of daily living in first-person camera views. Pirsiavash H, Ramanan D, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference On 2012 2847 2854
35. Learning to recognize objects in egocentric activitie. Fathi A, Ren X, Rehg JM, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference On 2011 3281 3288
36. Architecture and applications of the FingerMouse: a smart stereo camera for wearable computing HCI. de la Hamette P, Tröster G, Pers Ubiquit Comput 2008 12 97 110 10.1007/s00779-006-0109-0
37. Pixel-level hand detection for ego-centric videos. Li C, Kitani KM, Proc. of CVPR 2013
38. Bradski G, "PROGRAMMER'S TOOLCHEST-THE OPENCV LIBRARY-OpenCV is an open-source, computer-vision library for extracting and processing meaningful data from images." Dr Dobb's Journal-Software Tools for the Professional Programmer 25.11 2000 120 126
39. Statistical color models with application to skin detection. Jones MJ, Rehg JM, Int J Comput Vis 2002 46 81 96 10.1023/A:1013200319198 (Pubitemid 34138494)
40. Robust histogram construction from color invariants. Gevers T, Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference On 2001 615 620 (Pubitemid 32795011)
41. Border detection on digitized skin tumor images. Zhang Z, Stoecker WV, Moss RH, IEEE Transactions On Medical Imaging 2000 19 1128 1143 10.1109/42.896789 11204850 (Pubitemid 32189046)
42. Sixthsense: a wearable gestural interface. Mistry P, Maes P, ACM SIGGRAPH ASIA 2009 Sketches 2009 11