An electronic travel guide for visually impaired – vehicle board recognition system through computer vision techniques

Abstract

Purpose: In the context of assistive technology, mobility takes the meaning of “moving safely, gracefully, and comfortably”.The aim of this article is to provide a system which will be a convenient means of navigation for the Visually Impaired people, in the public transport system.

Method: A blind regular commuter who travels by public transport facility finds difficulty in identifying the vehicle that is nearing the stop. Hence, a real-time system that dynamically identifies the nearing vehicle and informs the commuters is necessary. This paper proposes such a system namely the “Vehicle Board Recognition System” (VBRS). Computer Vision techniques such as segmentation, object recognition, text detection and optical character recognition are utilized to build the system, which will detect, analyze, derive and communicate the information to the passengers.

Results: Thanks to the rapid development in technology, there are several navigation systems both hand held and wearable, available to help visually impaired (VI) people move comfortably both indoor and outdoor. Many blind people are not comfortable in using these devices or they are not affordable for them. Thus the proposed system gives them the comfort of navigation.

Conclusion: This system can be installed in the bus stop to assist the Visually Impaired, from externally rather than their hand held or wearable assistive devices.

• Implications for rehabilitation

• This proposed system will help the visually impaired to

• ensure secure navigation

• be independent of the others

• develop self confidence.

• overcome the training, affordability of wearable/ handheld devices.

     

Simple,rapid, and accurate determination of deletion mutations by automated dna sequencing of heteroduplex fragments of the adenomatous polyposis coli (APC) gene generated by PCR amplification

Germline mutations in patients with familial adenomatous polyposis were analyzed by polymerase chain reaction (PCR) amplification of the adenomatous polyposis coli gene. PCR products from heterozygous patients for deletions of this gene formed four distinct bands on polyacrylamide gel electrophoresis. The four fragments were subsequently purified and both strands of each fragment were directly sequenced, using an automated DNA sequencer and the same primers as those for PCR amplification. It was found that the two slower migrating fragments were “bulge” heteroduplexes, while the other two were homoduplexes made up of two wild-type strands and two deletion-mutant strands, respectively. The sites of deletions in the adenomatous polyposis coli gene could be exactly determined in four of the five patients. In an attempt to identify deletion-carriers of familial adenomatous polyposis at the presymptomatic stage, a family study was also carried out, and two children were found to have the same mutations as those of their affected parents. The direct sequencing of heteroduplex fragments generated during PCR amplification is a potentially useful method for detecting mutations of not only the adenomatous polyposis coli gene but also many other genes of genetic diseases. © 1993 Wiley-Liss, Inc.     

室性早搏的快速检测方法

提出一种利用相关性和RR间期比相结合的快速室性早搏的检测算法.该算法具有一定的病人自适应性.通过MIT-BIH心律失常数据库的验证,该方法对Normal和PVC有很高的识别率.     

3D打印截骨导板辅助赝复体术中修复BrownⅡ类缺损的精准度评价

目的 设计制作3D打印截骨导板用于赝复体术中修复BrownⅡ类缺损,评价其临床应用的精准度.方法 8例因肿瘤致BrownⅡ类缺损患者纳入研究,术前设计制作3D打印截骨导板及赝复体,术中在截骨导板引导下完成手术,即刻戴入赝复体修复缺损,将术前虚拟计划与术后CBCT融合,对整体及局部区域行偏差分析评价手术精准度.应用SPS...     

3D打印非共面模版引导125I粒子植入治疗头颈部肿瘤个体化设计与应用

目的 对比3D打印非共面模板引导¹²⁵I粒子植入治疗头颈部肿瘤的术前、术后计划的物理剂量学参数,探索头颈部肿瘤放射性粒子植入治疗用个体化模板设计方法的安全性、可行性、精确性。方法 2016年1月-2016年12月于北京大学第三医院接受3D打印模板辅助CT引导放射性¹²⁵I粒子植入的头颈部复发/转移恶性肿瘤的患者42例。处方剂量110~160Gy,设计制作3D打印非共面模板42块,对比术前、术后物理剂量学参数,包括D90、最小周边剂量(mPD)、V100、V150、V200、适形指数(CI)、靶区外体积指数(EI)、均匀性指数(HI)。结果 为42例患者设计、制作的42块导板术中就位良好,与术前计划相比,术后D90、V100、CI、EI、HI均相近(P=0.490、0.407、0.893、0.143、0.079),mPD、V150、V200不同(P=0.036、0.007、0.000)。结论 术后验证的主要剂量学指标较好地达到了术前计划要求,有良好的治疗精确性,可以满足临床需求。     

一种简易疟原虫PCR模板制备方法

目的:寻找一种高效、简便、快速疟原虫PCR模板制备方法。方法:收集2010年-2011年自非洲、东南亚等疟疾流行区回国人员中疟疾现症患者(显微镜检查阳性),采滤纸血,用蒸馏水直接溶血法和Chel-ex-100法分别制备疟原虫PCR模板,采用巢式PCR技术检测疟原虫ss RNA基因,并对两法结果进行比较。结果:分别用蒸馏水直接溶血法和Chelex-100法制备疟原虫PCR模板32个,其中恶性疟原虫26个,间日疟原虫6个,直接溶血法巢式PCR检测全部出现特异性扩增带,而Chelex-100法均未出现扩增带。结论:蒸馏水直接溶血法是一种较为理想制备疟原虫PCR模板的方法。     

Utilising allelic dropout probabilities estimated by logistic regression in casework

Some advanced methods for DNA profile interpretation require a probability for the event of dropout. Methods have been suggested based on logistic regression. Two of these respectively use a proxy for template that is constant across loci and one that is modelled using an exponential curve. Both of these methods allow different modelling constants from each locus. A variant of the model using an exponential curve is discussed. This variant constrains the constants to be the same for every locus. We test these two methods and the variant by developing the constants (training) on one set of data and testing them on another. This mimics the likely use in casework. We find that the new variant appears to be the most useful in that it performs better than the other two options when trained on one data set and used on another. The hypothesised reason for this is that locus to locus variation in amplification efficiency varies with time, multimix batch, or from sample to sample.     

Individualized 3D-printed templates for high-dose-rate interstitial multicathether brachytherapy in patients with breast cancer

Purpose

High-dose-rate, multicatheter interstitial brachytherapy is technically complex and operator-dependent, requiring lengthy training and specialized skills. Furthermore, until the advent of contouring on computerized tomography (CT) images, difficulties existed in locating the target volume precisely. The present article reports the results of a study that aimed at producing and validating a 3D-printed template to aid in target volume localization for multicatheter interstitial brachytherapy in patients with breast cancer.