HMM-based state classification of a user with a walking support system using visual PCA features

The improvement of safety and dependability in systems that physically interact with humans requires investigation with respect to the possible states of the user’s motion and an attempt to recognize these states. In this study, we propose a method for real-time visual state classification of a user with a walking support system. The visual features are extracted using principal component analysis and classification is performed by hidden Markov models, both for real-time fall detection (one-class classification) and real-time state recognition (multi-class classification). The algorithms are used in experiments with a passive-type walker robot called “RT Walker” equipped with servo brakes and a depth sensor (Microsoft Kinect). The experiments are performed with 10 subjects, including an experienced physiotherapist who can imitate the walking pattern of the elderly and people with disabilities. The results of the state classification can be used to improve fall-prevention control algorithms for walking support systems. The proposed method can also be used for other vision-based classification applications, which require real-time abnormality detection or state recognition.     

Human tracking system based on adaptive multi-feature mean-shift for robot under the double-layer locating mechanism

Human tracking has been a challenging task for robot in the past decades. In this paper, to realize the human following in a cluttered environment, a human tracking system based on adaptive multi-feature mean-shift (AMF-MS) under the double-layer locating mechanism (DLLM) is proposed to solve the problem of distinguishing target, occlusion, and quick turning. The DLLM, considering the course location processing and fine location processing, is designed to estimate the person’s position using the fusion of heterogeneous data. As an ID tag attached on target can be detected by RF antennas, the course locating method can track the target easily and quickly. The Bayes rule is introduced to calculate the probability where the tag exists due to the instability of RF signals. In the fine locating step, the AMF-MS is proposed because it can reduce computational load and represent target by multi-feature histogram function. Meanwhile, we combine extended Kalman filter and AMF-MS to overcome MS’s inability of occlusion. To control the robot following the target person precisely, an intelligent gear shift strategy based on fuzzy control is implemented by analyzing the robot structure. Experiments demonstrate that the proposed approach is robust to handle complex tracking conditions, and show the system has an optimum performance.     

Model reference adaptive impedance control in Cartesian coordinates for physical human–robot interaction

In this paper, a nonlinear model reference adaptive impedance controller is proposed and tested. The controller provides asymptotic tracking of a reference impedance model for the robot end-effector in Cartesian coordinates applicable to rehabilitation robotics or any other human–robot interactions such as haptic systems. The controller uses the parameters of a desired stable reference model which is the target impedance for the robot’s end-effector. It also considers uncertainties in the model parameters of the robot. The asymptotic tracking is proven using Lyapunov stability theorem. Moreover, the adaptation law is proposed in joint space for reducing the complexity of its calculations; however, the controller and the stability proof are all presented in Cartesian coordinates. Using simulations and experiments on a two DOFs robot, the effectiveness of the proposed controller is investigated.     

重组人干扰素α2b阴道泡腾片抗豚鼠单纯疱疹病毒性阴道炎的疗效

目的观察重组人干扰素α2b阴道泡腾片对单纯疱疹病毒性阴道炎动物模型的疗效。方法采用单纯疱疹病毒感染建立豚鼠实验性阴道炎模型,并分别用重组人干扰素α2b阴道泡腾片600、3 000和15 000 IU/只进行治疗。以阿昔洛韦(无环鸟苷)和干扰素α2b栓剂15 000 IU/只作为对照。对治疗前后豚鼠阴道外观及组织切片进行评分。结果应用重组人干扰素α2b阴道泡腾片对豚鼠实验性单纯疱疹病毒性阴道炎进行治疗后,豚鼠阴道外观病变与组织切片病变评分均显著降低,其中15 000 IU/只效果最好。同样剂量的α2b泡腾片药效优于栓剂。结论重组人干扰素α2b阴道泡腾片对实验性单纯疱疹病毒性阴道炎有明显的疗效。     

重组人干扰素α2b内毒素检查法的研究

目的研究鲎试剂法与家兔法检测重组人干扰素α2b内毒素结果的相关性,并参照家兔热原试验的阈值量,来确定本制品质量标准中内毒素的限量标准。方法分别用不同浓度的内毒素溶液和含不同浓度内毒素的供试品溶液进行家兔热原质试验,确定供试品内毒素限值,并在此限值下进行内毒素检测,方法均参照2000年版《中国药典》和2000年版《中国生物制品规程》进行。结果在含不同浓度内毒素溶液的家兔热原质试验中,致热阈值小于5.0EUml。在含不同浓度内毒素供试品溶液的家兔热原质试验中,致热阈值小于1.25EUml。以此确定本品内毒素限值,检测该制品的内毒素含量,结果均符合规定。结论本品在内毒素含量小于3.5EU500万单位dose的范围内,根据具体的对照实验及制品的用途来规定细菌内毒素限值,可用鲎试剂法代替家兔法检测注射用重组人干扰素α2b冻干制剂的热原质。     

基于似人特性的机器人拟人臂自主抓取动作规划

针对拟型服务机器人在家庭环境中的自主抓取任务,提出了一种强调运动姿态似人特性的机器人手臂动作的运动规划方法.该方法基于人体工程学中的快速上肢评估准则评价机器人运动姿态的似人特性,并在此基础上以机器人传速速率最优为目标规划机器人持物动作的姿态构型.最后以Motoman SDA10D拟人双臂机器人为例,具体介绍了该方法的应用和规划的结果,规划结果证明了该方法的可行性和有效性.     

基于似人特性的拟人臂机器人自主抓取动作规划

针对拟人臂机器人在家庭环境中的自主抓取任务,提出了一种强调运动姿态似人特性的拟人臂动作的规划方法.该方法分为两个部分,构型规划和运动规划,构型规划基于人体工程学中广泛使用的快速上肢评估准则评价机器人运动姿态的似人特性,并在此基础上以机器人末端传速速率最优为目标规划机器人运动过程中的关键构型.运动规划结合了Fitts定律和似人运动模型规划了机器人末端的空间轨迹.本文最后以Motoman SDA10D拟人双臂机器人和Mitsubishi PA10机器人为例,具体介绍了该方法的应用和规划的结果,规划结果证明了本方法的可行性和有效性.     

重组人干扰素α2b栓剂的检定及其临床疗效

目的对重组人干扰素α2b栓剂进行质量检定及临床疗效观察。方法连续试制3批样品,进行各项质控指标的检定及宫颈糜烂的临床疗效观察。结果本品各项检定指标均符合质量要求。治疗组宫颈糜烂的有效率为74·8%,对照组的有效率为60·0%。治疗组和对照组的副反应发生率分别为9·1%和8·3%。结论重组人干扰素α2b栓剂质量稳定,安全性好,疗效确切。     

Mutational analysis of structure--activity relationships in human tumor necrosis factor-alpha

To determine the region of human tumor necrosis factor-alpha(TNF-), essential for cytotoxic activity against mouse L-M cells,single amino-acid-substituted TNF- mutant proteins (muteins)were produced in Escherichia coli by protein engineering techniques.An expression plasmid for TNF- was mutagenized by passage throughan E.coli mutD5 mutator strain and by oligonucleotide-directedmutagenesis. Approximately 100 single amino-acid-substitutedTNF- muteins were produced and assayed for cytotoxic activity.The cytotoxic activities of purified TNF- muteins, e.g. TNF-31T,-32Y, -82D, -85H, -115L, -141Y, -144K and -146E, were < 1%of that of parent TNF-. These results indicate that the integrityof at least four distinct regions of the TNF- molecule is requiredfor full biological activity. These regions are designated asfollows: region I, from position 30 to 32; region II, from position82 to 89; region III, from position 115 to 117; region FV, fromposition 141 to 146. In addition, TNF-141Y could not completelycompete with parent TNF- for binding to the receptor. This demonstratesthat region IV, and at least aspartk acid at position 141, mustbe involved in the TNF receptor binding site.     

基于半监督距离学习的运动相似性度量算法

人体运动捕获技术的发展使得运动捕获数据不断积累,人体运动的检索技术成为运动数据管理和重用过程中的关键环节。由于逻辑相似的运动在数值上并不一定相似,使用欧式距离度量2个运动间的逻辑相似性难以取得理想的结果。为此,提出一种半监督的距离度量学习算法,利用带标记的运动和未标记运动进行训练以得到运动间的马氏距离度量,从而判断2个运动之间的逻辑相似性,实现运动检索。实验结果表明,与现有的大部分检索算法相比,该算法能够得到更高的查询精度,且没有任何人工干预,可应用于自动检索领域。