[1] 中國殘疾人聯(lián)合會. 2019年殘疾人事業(yè)發(fā)展統(tǒng)計公報[R/OL].(2020-04-02)[2020-07-02]. http://www.cdpf.org.cn//zwgk/zccx/tjgb0aeb930262974effaddfc41a45ceef58.htm.
[2]? 余文勇,石繪.機器視覺自動檢測技術(shù) [M]. 北京: 化學(xué)工業(yè)出版社 ,2013.
[3]? 工控幫教研組.機器視覺原理與案例詳解[M]. 北京:電子工業(yè)出版社,2020.
[4] 黃志鵬, 郁漢琪, 張聰,等. 機器視覺的發(fā)展及應(yīng)用[J]. 信息與電腦, 2020(17): 127-129.
Huang ZP, Yu HQ, Zhang C, et al. The development and application of machine vision[J]. China computer& Communication, 2020(17): 127-129.
[5] 趙霞,袁家政,劉宏哲.基于視覺的目標(biāo)定位技術(shù)的研究進展[J].計算機科學(xué),2016,43(6):10-16,43.
Zhao X, Yuan JZ, Liu HZ. Advances in vision-based target location technology[J]. Computer Science, 2016,43(6):10-16,43.
[6] 楊晨曦,華云松.基于雙目立體視覺的目標(biāo)物測距研究[J].軟件,2020,41(1):128-132.
Yang CX, Hua YS. Research on target ranging based on binocular stereo vision[J]. Computer Engineering & Software,2020,41(1):128-132.
[7]? 周瑩亮. 基于計算機視覺的輪椅跟隨控制系統(tǒng)研究[D]. 西安:陜西科技大學(xué), 2020.
Zhou YL. Research on wheelchair following control system based on computer vision[D]. Xi’an: Shaanxi University of science and technology, 2020.
[8] 任恒樂, 徐方, 邸霈,等. 基于深度相機的移動機器人自主跟隨技術(shù)[J]. 計算機工程與設(shè)計, 2020, 41(2): 562-566.
Ren HL, Xu F, Di P, et al. Autonomous following technology of mobile robot based on depth camera [J]. Computer Engineering and Design, 2020, 41(2): 562-566.
[9]鄒超, 汪秉文, 孫志剛. 基于機器視覺的織物疵點檢測方法綜述[J]. 天津工業(yè)大學(xué)學(xué)報, 2009, 28(2): 78-82, 85.
Zou C, Wang BW, Sun ZG. Survey on fabric defect detection based on machine vision[J]. Journal of Tianji Polytechnic University, 2009, 28(2): 78-82, 85.
[10] Wang YN, Lu X, Ling ZG, et al. A method to calibrate vehicle-mounted cameras under urban traffic scenes[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(6): 3270-3279.
[11] Zhang ZY. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334.
[12] Yuan XC, Wu LS, Peng QJ. An improved Otsu method using the weighted object variance for defect detection[J]. Applied Surface Science, 2015, 349: 472-484.
[13]Girshick R, Donahue J, Darrell T, et al. Region-based convolutional networks for accurate object detection and segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(1): 142-158.
[14] Gorai AK, Raval S, Patel AK, et al. Design and development of a machine vision system using artificial neural network-based algorithm for automated coal characterization[J]. International Journal of Coal Science & Technology, 2020: 1-19.
[15] 趙月鵬. 基于機器視覺的人體坐姿檢測系統(tǒng)的設(shè)計與實現(xiàn)[D]. 哈爾濱: 哈爾濱理工大學(xué), 2020.
Zhao YP. Design and implementation of human sitting posture detection system based on machine vision[D]. Harbin: Harbin University of science and technology, 2020.
[16] 李旻擇, 李小霞, 王學(xué)淵,等. 基于多尺度核特征卷積神經(jīng)網(wǎng)絡(luò)的實時人臉表情識別[J]. 計算機應(yīng)用, 2019, 39(9): 2568-2574.
Li MZ, Li XX, Wang XY, et al. Real-time facial expression recognition based on convolutional neural network with multi-scale kernel feature[J]. Journal of Computer Applications, 2019, 39(9): 2568-2574.
[17] 劉勇, 李杰, 張建林,等. 基于深度學(xué)習(xí)的二維人體姿態(tài)估計研究進展[J]. 計算機工程,2021,47(3): 1-16.
Liu Y, Li J, Zhang JL, et al. Research progress of two-dimensional human pose estimation based on deep learning[J]. Computer Engineering, 2021, 47(3): 1-16.
[18]鄭季煒. 基于機器視覺的智能人機交互技術(shù)研究 [J]. 海峽科學(xué) ,2018(1): 24-26.
[19] Hartman A, Nandikolla VK. Human-machine interface for a smart wheelchair[J]. Journal of Robotics, 2019, 2019: 4837058.
[20] 李杰. 康復(fù)機器人輔助患者起立軌跡預(yù)測方法研究[D].沈陽: 沈陽工業(yè)大學(xué), 2017.
Li J. Research on prediction method of rehabilitation robot assisted patient standing-up trajectory[D]. Shenyang: Shenyang University of technology, 2017.
[21]? Ustinova KI, Perkins J, Szostakowski L. Effect of viewing angle on arm reaching while standing in a virtual environment: potential for virtual rehabilitation [J]. Acta Psychologica, 2010, 133(2): 180-190.
[22] 祝敏航.基于機器視覺的下肢外骨骼康復(fù)運動檢測系統(tǒng)[D]. 杭州:浙江大學(xué),2016.
Zhu MH. Machine vision-based motion detecting system for rehabilitation of lower extremity exoskeleton[D]. Hangzhou: Zhejiang University, 2016.
[23] 閆航. 康復(fù)訓(xùn)練場景下的動作與行為識別方法研究[D]. 鄭州:鄭州大學(xué), 2020.
Yan H. Research on the method of action and behavior recognition in rehabilitation training[D]. Zhengzhou:Zhengzhou University,2020.
[24] Adriella A, Alenyà G, Hernández-farigola J, et al. Deciding the different robot roles for
patient? cognitive? training[J].? International? Journal? of? Human-Computer? Studies,? 2018, 117: 20-29.
[25]陳浩東. 基于機器視覺的認(rèn)知康復(fù)機器人系統(tǒng)設(shè)計[D]. 合肥: 合肥工業(yè)大學(xué), 2019.
Chen HD. Design of cognitive rehabilitation robotic system based on machine vision[D]. Hefei: Hefei University of Technology, 2019.
[26] 謝俊祥, 張琳. 智能手術(shù)機器人及其應(yīng)用[J]. 中國醫(yī)療器械信息, 2015(3): 11-17.
Xie JX, Zhang L. The review and application of smart and surgical robots[J]. China Medical Device Information, 2015(3): 11-17.
[27] 鄭紅杰. 基于視覺的手術(shù)機器人腹腔鏡位姿自動調(diào)節(jié)方法研究[D]. 哈爾濱: 哈爾濱工程大學(xué), 2018.
Zheng HJ. Research on the laparoscopic pose vision-based automatic adjustment for robot assisted surgery[D]. Harbin: Harbin Engineering University, 2018.
[28] 彭璟, 羅浩宇, 趙淦森, 等. 深度學(xué)習(xí)下的醫(yī)學(xué)影像分割算法綜述[J]. 計算機工程與應(yīng)用, 2021,57(3):44-57.
Peng J, Luo HY, Zhao GS, et al. Survey of medical image segmentation algorithm in deep learning[J]. Computer Engineering and Applications, 2021, 57(3): 44-57.
[29] 李鵬. 基于3D打印扁平足個性化矯正鞋墊的設(shè)計及其對平衡能力的影響[D]. 蘇州: 蘇州大學(xué),2017.
Li P. The design of personalized orthopedic insoles for flatfoot based on 3D print and its impact on balance ability[D]. Suzhou: Soochow University, 2017.
[30]Germany EI, Pino EJ, Aqueveque PE. Myoelectric intuitive control and transcutaneous electrical stimulation of the forearm for vibrotactile sensation feedback applied to a 3Dprinted prosthetic hand[J]. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016, 2016: 5046-5050.
[31] 魯?shù)轮? 梅釗, 李向磊,等. 3D打印脊柱側(cè)凸矯形器的數(shù)字化設(shè)計及效果評估[J]. 中國組織工程研究, 2021,25(9):1329-1334.
Lu DZ, Mei Z, Li XL, et al. Digital design and effect evaluation of three-dimensional printing scoliosis orthosis[J]. Chinese Journal of Tissue Engineering Research, 2021,25(9):1329-1334.
[32]Choo YJ, Boudier-Revéret M, Chang MC. 3D printing technology applied to orthosis manufacturing: narrative review[J]. Annals of Palliative Medicine, 2020, 9(6):4262-4270.
[33]Portnoy S, Barmin N, Elimelech M, et al. Automated 3D-printed finger orthosis versus manual orthosis preparation by occupational therapy students: Preparation time, product weight, and user satisfaction[J]. Journal of Hand Therapy, 2020,33(2): 174-179.
[34] 顧飛,姚慶強,劉帥,等. 3D 打印截骨導(dǎo)板在膝關(guān)節(jié)單髁 置換術(shù)中的應(yīng)用[J]. 中國數(shù)字醫(yī)學(xué),2020, 15(6): 97-100.
Gu F, Yao QQ, Liu S, et al. Application of 3D-printed osteotomy guide plate in unicompartmental knee arthroplasty[J]. China Digital Medicine, 2020,15(6):97-100.
[35] 楊勇,邱志杰,徐紅革,等.3D 打印結(jié)合數(shù)字化設(shè)計在髖臼骨折手術(shù)治療中的應(yīng)用[J]. 臨床骨科雜志, 2021,24(1): 88-92.
Yang Y, Qiu ZJ, Xu HG, et al. The application of 3D printing combined with digital design in the surgical treatment of acetabular fracture[J]. Journal of Clinical Orthopaedics, 2021,24(1): 88-92.
[36]Raisian S, Fallahi HR, Khiabani KS, et al. Customized titanium mesh based on the 3D printed model vs. manual intraoperative bending of titanium mesh for reconstructing of orbital bone fracture: a randomized clinical trial[J]. Reviews on Recent Clinical Trials,2017,12(3):154-158.
[37] 高源. 三維模型和機器視覺結(jié)合的3D打印醫(yī)療導(dǎo)板質(zhì)量檢測[D]. 北京: 北京工業(yè)大學(xué), 2016.
Gao Y. The quality evaluation of 3D printing medical guide combining 3D model and computer vision[D]. Beijing: Beijing University of Technology, 2016.
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