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522results about How to "Increase initiative" patented technology

Five-freedom degree dermaskeleton type upper limb rehabilitation robot interactive rehabilitation training control policy

The invention provides a five-degree of freedom exoskeleton-type upper limb recovery robot interactive recovery training control strategy. The strategy comprises two training patterns corresponding to the different recovery period of a patient, i.e. a passive interactive recovery training control strategy and an active-auxiliary interactive recovery training control strategy; during passive movement, a surface myoelectric signal of relevant muscles on a healthy upper limb of a patient is picked up and taken as the movement intention of the patient, thereby controlling a robot to drive a diseased side to realize movement passive training; during active movement, the movement intention of an upper limb of a human body is judged through acquiring in real time the arthrosis force moment generated by a diseased limb acting on the robot during movement, and an applied force is converted into the velocity quantity of the tail end of a mechanical arm by means of a proportional controller, thereby driving the robot to follow the intention so as to carry out recovery active-auxiliary training of the diseased limb. The five-degree of freedom exoskeleton-type upper limb recovery robot interactive recovery training control strategy can provide all-around recovery training movement for a clinic hemiplegia patient, thereby increasing the activeness of the patient in recovery training and the confidence of the patient in recovery; meanwhile, the recovery training control strategy also increases the attractiveness of a recovery process and promotes recovery efficacy.
Owner:HARBIN INST OF TECH

Apparel type robot for healing hand function and control system thereof

The invention discloses a wearable hand function rehabilitation robot, which is mainly used for assisting the repeated movement function rehabilitation training of the patient with hand movement function disorder which is caused by stroke, brain trauma, spinal cord injury and peripheral nerve injury in communities or families. The robot system extracts the active movement will of the patient by detecting the multi-channel surface myoelectric signals of the affected hand and obtains the state of the affected limb by combining the data which is measured by an angle and force sensor to carry out the rehabilitation training of the affected hand by pneumatic muscle contraction assistance by using the intelligent control algorithm on the basis. The rehabilitation robot has multiple degrees of freedom, which can assist the affected hand to carry out multi-joint complex movement and inosculate the multi-sensor data information fusion during the rehabilitation process to be further used for the evaluation of rehabilitation effect, and the activity and the training interest of the patient can be improved by using the rehabilitation treatment virtual environment on a computer. The invention has the advantages of simple structure, flexible movement, safety and reliability, which can not only realize the rehabilitation training of the movement function of the affected hand, but can also be in line with the physiologic structure characteristics of human hands. The invention is more comfortable to wear.
Owner:HUAZHONG UNIV OF SCI & TECH

Stroke patient rehabilitation training system and method based on brain myoelectricity and virtual scene

Provided are a stroke patient rehabilitation training system and method based on brain myoelectricity and a virtual scene. Control over the virtual rehabilitation scene is achieved through myoelectric signals, and rehabilitation training intensity is adjusted in a self-adaptation mode with a brain myoelectricity fatigue index combined. The design of the virtual rehabilitation scene is completed with the needs of stroke patient rehabilitation training and the advice of a rehabilitation physician combined, the brain fatigue index is provided, and quantitative evaluation on brain region fatigue is achieved. The surface myoelectric signal features under different motion modes of an arm are extracted, the motion intention of a patient is obtained, and control over the virtual rehabilitation scene is achieved. The muscle fatigue and brain fatigue index comprehensive features are extracted, the fatigue state of a rehabilitation patient is obtained, self-adaptation rehabilitation training scene adjusting is achieved, rehabilitation training intensity is relieved or enhanced, and secondary damage caused by improper training is avoided. The system and method have the advantages of being high in safety, high in intelligence and scientific in training, and damage cannot happen easily.
Owner:YANSHAN UNIV

Circumferentially-distributed crawler wheel type pipeline detection robot capable of actively adapting to pipe diameter changes

ActiveCN108488539AImprove the ability to actively adapt to pipe diameterIncrease initiativePigs/molesBall screwElectrical control
The invention discloses a circumferentially-distributed crawler wheel type pipeline detection robot capable of actively adapting to pipe diameter changes. The robot comprises a crawler wheel travelingmechanism and a detection mechanism connected to the front end of the crawler wheel traveling mechanism through a turning mechanism, the crawler wheel traveling mechanism comprises a cylindrical mainbody sleeve, multiple crawler wheels controlled by a crawler driving motor are evenly distributed on the periphery of the cylindrical main body sleeve, the crawler wheels are installed on a ball screw through a pressing adjusting crank sliding block mechanism, and the ball screw is fixed to the outer wall of the cylindrical main body sleeve. The detection mechanism comprises a cylindrical detection barrel, an ultrasonic probe and a wide-angle camera stretch out of a detection barrel front end cover of the cylindrical detection barrel, the front end of the ultrasonic probe is provided with anultrasonic reflector, an electrical control system is arranged inside the cylindrical main body sleeve, and the electrical control system is connected with a battery. The circumferentially-distributedcrawler wheel type pipeline detection robot is good in movement controllability, outstanding in climbing and obstacle crossing ability and capable of actively adapting to pipe diameter working conditions.
Owner:XI AN JIAOTONG UNIV

Small and medium-sized enterprise supply chain financial platform on basis of could computing

InactiveCN103810794AAdd financing moduleWillingness to strengthen credit supportComplete banking machinesControl dataEnterprise resource planning
The invention belongs to the technical field of enterprise management and provides a small and medium-sized enterprise supply chain financial platform on the basis of could computing. The small and medium-sized enterprise supply chain financial platform is characterized in that a cloud platform abandons complex authorization configuration and master data management and completes system initialization setting in a guide mode; the cloud platform dynamically integrates user identity authentication services of an ERP (Enterprise Resource Planning) system in a private cloud according to different identities of accessing users so as to control data access permissions; user functions of the cloud platform are flexibly customized as required by an enterprise user in the ERP system so as to adapt to the access requirements in different user environments; the small and medium-sized enterprise supply chain financial platform comprises a system application module, a small and medium-sized enterprise financing module, a credit risk control module, a small and medium-sized enterprise information management module, an receivable and payable management module, a general ledger management module and an asset management module. The small and medium-sized enterprise supply chain financial platform has the advantages that the small and medium-sized enterprise supply chain financial platform is simpler and more practical, is convenient to use, can select the functional modules by the self according to the requirements of enterprises, is low in cost and is suitable for small and medium-sized enterprises.
Owner:HAND ENTERPRISE SOLUTIONS CO LTD

Pollutant migration simulation-based water source site water quality safety early warning method

The present invention provides a pollutant migration simulation-based water source site water quality safety early warning method. The method includes the following steps that: a water flow model is constructed; the target pollutant of a water source site is determined; the migration model of the target pollutant in a water containing layer is constructed according to the water flow model; the simulation time of the migration model is preset, the migration and distribution result of the target pollutant is obtained; and early warning judgment is performed according to the migration and distribution result and an early warning level. According to the pollutant migration simulation-based water source site water quality safety early warning method, based on the pollutant migration simulation of a monitoring result and water source hydrogeological parameters, a pollution source condition is simulated, and a characteristic pollutant distribution condition is obtained, for example, ammonia nitrogen of farmlands in the Li Min economic development zone in Harbin of Heilongjiang Province will not pose a threat to the safety of water quality in Limin water sources in 20 years, and the initiative of water quality safety early warning work in water source sites near rivers can be improved, and management on the water source sites and prejudgment on pollution situations can be facilitated.
Owner:BEIJING NORMAL UNIVERSITY

Marine environmental monitoring system based on unmanned ship formation motion

The invention discloses a marine environmental monitoring system based on unmanned ship formation motion. The system comprises multiple unmanned ships loaded with unmanned ship formation motion control systems, marine environmental monitoring sensing systems and wireless ZigBee communication systems and a remote marine environmental monitoring system. Each unmanned ship formation motion control system drives a corresponding unmanned ship motor in a set unmanned ship formation motion mode to form a shipping formation column and each unmanned ship moves according to the corresponding shipping track. Each marine environmental monitoring sensing system sends acquired marine environmental monitoring data to the remote marine environmental monitoring system in real time. Each wireless ZigBee communication system is connected with the corresponding unmanned ship and the remote marine environmental monitoring system. The remote marine environmental monitoring system forms a visual interface in real time and can remotely control each unmanned ship. By the adoption of the system, movable environmental monitoring, positioning and display comprehensive monitoring can be conducted according to the characteristics of abruptness, uncertainty and the like of the marine environment.
Owner:DALIAN MARITIME UNIVERSITY

Virtual sample deep learning-based robot target identification and pose reconstruction method

ActiveCN106845515ASolve the problem of massive sample demandImprove flexibilityImage enhancementImage analysisContour matchingVirtual sample
The invention provides a virtual sample deep learning-based robot target identification and pose reconstruction method. The method comprises the steps of extracting a region of an operation target in a camera image by adopting a CNN region detector, and preliminarily determining relative positions of the operation target and a robot end camera; estimating an observation angle deviation of a current view angle and an accurate pose solving optimal view angle of the computer end camera by adopting a CNN pose classifier; controlling a robot motion by adopting a multi-observation view angle correction method to enable the end camera to be transferred to the accurate pose solving optimal view angle; and by adopting virtual-real matching of contour features and pose inverse solving at the optimal view angle, realizing accurate calculation of a target pose. According to the method, the problem in massive sample demands of a deep convolutional neural network is solved, and the problems of feature shielding and matching difficulty caused by an excessively large contour matching view angle deviation are solved; and the activeness of robot vision perception and the algorithm flexibility of target pose reconstruction are improved.
Owner:SHANGHAI GOLYTEC AUTOMATION CO LTD

Novel-class standard online education platform

The invention discloses a novel-standard sign online education platform. The online education platform realizes local or foreign dissemination of teaching information by the Internet, and comprises an interactive education server, a portal management center system and a demonstration center system, wherein the portal management center system and the demonstration center system are both connected with the interactive education server by the Internet; the Internet is also connected with a client terminal system; the client terminal system comprises a terminal server, a teacher terminal, student terminals and parent terminals, and is connected with the teacher terminal, the student terminals and the parent terminals respectively; the portal management center system comprises built-in functional modules for online providing related statistical analytical information and personalized information for a teacher, students and parents; and the demonstration center system controls the normal running of each piece of projection display equipment and demonstrates information shared by the education platform. The novel-class sign online education platform maximally utilizes high-quality educational resources, and effectively improves the teaching efficiency by an Internet technology.
Owner:SHANGHAI XUEZHOU INFORMATION TECH

Method and system for topic keyword self-adaptive expansion on social network platform

The invention discloses a method and a system for topic keyword self-adaptive expansion on a social network platform. According to the method and the system for the topic keyword self-adaptive expansion on the social network platform, implicit keywords and keywords of relevant topics are extracted to build a keyword expansion vocabulary through the analysis of the correlation among social network information contents. The method includes the following steps: labeling a small amount of keywords to build a seed keyword vocabulary, collecting sample information to build a corpus through incremental self-feedback, obtaining word frequency through the sample information, obtaining relevant words which have high correlation with the seed keywords through the word frequency and multi-layer filtering algorithm, and selecting suitable words and adding the words to the keyword expansion vocabulary. The method and the system for the topic keyword self-adaptive expansion on the social network platform are different from a traditional webpage class keyword expansion mechanism, and are based on the characteristics of the social network information contents, and have higher flexibility and self-adaptivity to the selection of the keywords.
Owner:上海深杳智能科技有限公司 +1
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