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Zhang Qiu-yu,Lu Jun-chi,Wei Hui-yi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6
In order to improve the problems of segmentation accuracy and real-time existing in dynamic hand gesture under complex backgrounds, this paper presents a kind of dynamic hand gesture segmentation method based on improved Kalman filter and weighted skin-color model. Firstly, improved Kalman filter is utilized to process hand gesture image of hand gesture video sequences and get rough hand gesture results. Secondly, weighted skin-color model is applied to process rough results of hand gesture segmentation and segment hand gesture. Finally, morphological method is utilized to deal with gesture segmentation result, getting rid of the holes in the hand gesture’s binary image to realize the segmentation of dynamic hand gesture. Experiments show that the proposed method can segment hand gesture from dynamic hand gesture video sequences with complex backgrounds effectively. And the accuracy of hand gesture segmentation is high.
Hand Gesture Segmentation Method Based on YCbCr Color Space and K-Means Clustering
Zhang Qiu-yu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang,Lv Lu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5
Aiming at the problems that current skin-color detection segmentation technologies have unsatisfied segmentation results under conditions of complex illumination or backgrounds, we present a new method based on YCbCr color space and K-means clustering algorithm for segmentation hand gesture. Firstly, image in RGB color space is converted to YCbCr color space; and then YCbCr color space of image is divided into luminance Y and chrominance Cb and Cr. Lastly, the binary image is achieved by clustering values of chrominance using k-means clustering algorithm, and hand gesture segmentation is completed by conducting morphological process of binary image obtained. The experimental results illustrate that the proposed method can segment hand gestures from complex backgrounds and obtain segmentation results. The phenomena of similar skin color interference and skin color overlapping are solved with this method effectively. In addition, it is robust to illumination condition.
A Dynamic Gesture Trajectory Recognition Based on Key Frame Extraction and HMM
Zhang Qiu-yu,Lv Lu,Zhang Mo-yi,Duan Hong-xiang,Lu Jun-chi 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.6
Aiming at changing high computational complexity, underdeveloped real time, low recognition rate of dynamic gesture recognition algorithms, this paper present a real-time dynamic gesture trajectory recognition method based on key frame extraction and HMM. Key frames are selected without keeping track of all the details of one dynamic gesture, which is based on difference degree between frames. The trajectory data stream, sorted by the time-warping algorithm, is used to construct the Hidden Markov Method model of dynamic gesture. Finally, optimal transition probabilities are employed to implement dynamic gesture recognition. The result of this experiment implies that this method has high robustness and real time. The average recognition rate of dynamic gesture (0~9) is up to 87.67%, and average time efficiency is 0.46s.
Dynamic Hand Gesture Trajectory Recognition Based on Block Feature and Skin-Color Clustering
Zhang Qiu-yu,Lv Lu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.12
In recent years, dynamic hand gesture recognition has been a research hotspot of human-computer interaction. Since most existing algorithms contain problems with high computational complexity, poor real-time performance and low recognition rate, which cannot satisfy the need of many practical applications. Moreover, key frames obtained by inter-frame difference degree algorithm contain less information, which leads to less identified species and lower recognition rate. To solve these problems, we present a dynamic hand gesture trajectory recognition method based on the theory of block feature to extract key frames and the skin-color clustering’s hand gesture segmentation. Firstly, this method extracts block feature of degree of difference between frames in hand gesture sequence to select key frames accurately. Secondly, the method based on skin-color clustering is applied to obtain the area of hand gesture after segmenting hand gestures from images. Finally, hidden Markov model (HMM), in which the angle data of hand gesture trajectories are input, is used for modeling and identifying dynamic hand gestures. Experimental results show that the method of key-frame extraction is used to obtain information of dynamic hand gestures accurately, which would improve the recognition rate of dynamic hand gesture recognition and, at the same time, can guarantee the real-time of hand gesture recognition system. The average recognition rate is up to 86.67%, and the average time efficiency is 0.39s.
Ning Mu,Hong-Bao Liu,Qiu-Hong Meng,De-Wei Du,Yi Jiang,Huan-Zhang Hu 대한외과학회 2014 Annals of Surgical Treatment and Research(ASRT) Vol.88 No.1
Purpose: The aim of this study was to establish an in vitro method to purify human multipotent adult progenitor cells (hMAPCs) and assess their possible differentiation into hepatocytes by coculture with human hepatocyte line L02. Methods: hMAPCs were isolated by magnetic activated cell sorting (MACS) depletion selection using CD45 and GlyA microbeads. After indirect or direct coculture of hMAPCs and human hepatocyte line L02, the expression of albumin (ALB), alpha-fetoprotein (AFP), cytokeratin (CK) 18, and CK19 by hMAPCs was detected by immunocytochemistry. Results: With the MACS method, (5?10) × 10⁴/mL hMAPCs could be separated from 1 × 10?/mL bone marrow mononuclear cells. The purity of CD45-/GlyA- cells separated from bone marrow adherent cells was more than 98%, as determined by flow cytometry. In the coculture without cell-to-cell contact, hMAPCs expressed high AFP on day 1, and then tapered daily to low expression on day 7; ALB expression reached its peak on day 5, and remained high on day 7; CK18 was initially expressed on day 5 and was higher on day 7; CK19 was negative in all assays. In the coculture with cell-to-cell contact, ALB and CK18 were expressed by most cells while AFP appeared in only a few on day 5. Conclusion: hMAPCs were induced to differentiate into mature hepatocyte-like cells by coculture with a hepatocyte cell line, either with or without cell-to-cell contact, but the former seemed more effective.
Wei, Wei-Hong,Cai, Xiu-Yu,Xu, Tao,Zhang, Guo-Yi,Wu, Yong-Feng,Feng, Wei-Neng,Lin, Li,Deng, Yan-Ming,Lu, Qiu-Xia,Huang, Zhe-Li Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.3
Background and Purpose: Cisplatin is the most common chemotherapeutic agent for loco-regionally advanced nasopharyngeal carcinoma (NPC); however, toxicity is a limiting factor for some patients. We retrospectively compared the efficacy and toxicity of weekly docetaxel-based and cisplatin-based concurrent chemoradiotherapy in loco-regionally advanced NPC. Methods and Materials: Eighty-four patients with Stage III and IVA-B NPCs, treated between 2007 and 2008, were retrospectively analyzed. Thirty received weekly docetaxel-based concurrent chemotherapy, and 43 were given weekly cisplatin-based concurrent chemotherapy. Radiotherapy was administered using a conventional technique (seven weeks, 2.0 Gy per fraction, total dose 70-74 Gy) with 6-8 Gy boosts for some patients with locally advanced disease. Results: Median follow-up time was 42.3 months (range, 8.6-50.8 months). There were no significant differences in the 3-year loco-regional failure-free survival (85.6% vs. 92.3%; p=0.264), distant failure-free survival (87.0% vs. 92.5%; p=0.171), progression-free survival (85.7% vs. 88.4%; p=0.411) or overall survival (86.5% vs. 92.5%, p=0.298) of patients treated concurrently with docetaxel or cisplatin. Severe toxicity was not common in either group. Conclusions: Weekly docetaxel-based concurrent chemoradiotherapy is potentially effective and has a tolerable toxicity; however, further investigations are required to determine if docetaxel is superior to cisplatin for advanced stage NPC.
Serum Amyloid A is a Novel Prognostic Biomarker in Hepatocellular Carcinoma
Ni, Xiao-Chun,Yi, Yong,Fu, Yi-Peng,He, Hong-Wei,Cai, Xiao-Yan,Wang, Jia-Xing,Zhou, Jian,Fan, Jia,Qiu, Shuang-Jian Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24
Purpose: To investigate the prognostic value of serum amyloid A (SAA) in patients with hepatocellular carcinoma (HCC) undergoing surgery. Materials and Methods: Preoperative serum samples of 328 patients with HCC who underwent curative resection and of 47 patients with benign liver lesion were assayed. Serum levels of SAA were measured by enzyme-linked immunosorbent assay and its correlations with clinicopathological characteristics and survival were explored. Results: Levels of SAA were significantly higher in patients with HCC than those with benign liver lesion. There were strong correlations between preoperative serum SAA level and tumor size and more advanced BCLC stage. On univariate analysis, elevated SAA was associated with reduced disease-free survival and overall survival (p=0.001 and 0.03, respectively). Multivariate analyses showed that serum SAA level was an independent prognostic factor for overall survival (hazard ratio 2.80, p=0.01). Conclusions: High SAA serum level is a novel biomarker for the prognosis of HCC patients.
( Xiu-juan Yan ),( Hong-yi Qiu ),( Qing-qing Luo ),( Bo Wang ),( Ping Xu ),( Chen-feng Ji ),( Sheng-liang Chen ) 대한소화기기능성질환·운동학회 2022 Journal of Neurogastroenterology and Motility (JNM Vol.28 No.1
Background/Aims Antidepressants are effective in patients with functional dyspepsia (FD). However, stigma associated with FD and antidepressants may affect treatment adherence. This study aims to explore possible communication strategies to alleviate stigma and improve adherence in patients with FD. Methods In this randomized, single-center, and single-blind trial, 160 patients with FD initiating antidepressant treatment were recruited. Different communication strategies were performed when prescribing antidepressants. Participants in Group 1 were told that brain is the “headquarters” of gut, and that antidepressants could act as neuromodulators to relieve symptoms of FD through regulating the functions of gut and brain. Participants in Group 2 were told that antidepressants were empirically effective for FD. Stigma scores, medication-related stigma, treatment compliance, and efficacy were analyzed. Results After 8-week antidepressant treatment, the proportion of patients with FD with decreased stigma scores in Group 1 was significantly higher than in Group 2 (internalized stigma: 64.10% vs 12.00%; perceived stigma: 55.13% vs 13.33%; P < 0.01). Medication-related stigma was lower in Group 1 than in Group 2 (P < 0.05 for 3 of 4 questions). Concurrently, patients in Group 1 had better treatment compliance (0.71 ± 0.25 vs 0.60 ± 0.25, P < 0.01) and efficacy. In Group 1, participants with decreased post-treatment stigma scores showed better treatment compliance and efficacy than those with non-decreased scores. Decrease in stigma scores positively correlated with treatment compliance. Conclusion Improving knowledge of patients with FD of the disease and antidepressants via proper communication may be an effective way to alleviate stigma and promote adherence. (J Neurogastroenterol Motil 2022;28:95-103)