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This paper proposes a method of vision based pose estimation of randomly piled objects. It is necessary to estimate precise rotation angle of picking objects. However, it is non-trivial task because an object placed in every position makes distorted image far from right position image. We propose a precise pose estimation method of bin picking objects. The landmark feature of a picking object is extracted...
For automation of part-packaging processes, the system should be able to perform certain functions for operating the applicable concurrent pickup of randomized parts stored in multiple containers. To achieve such operation, we present an effective vision based picking system for multiple concurrent tasks in small parts manufacturing sites. The proposed system detects target objects and analyzes whether...
Bin-picking technology using vision sensor for picking objects has studied intensively because it results in productivity improvement by applying automation process in industry fields. To obtain more accurate result of position detection and pose estimation of objects to be picked using robot system is not trivial task because of poor factors such as nonuniform lighting condition, occlusion, pose...
Age estimation from face images has attracted attention because it is expected to have many application fields and growing interest. Human age estimation is very difficult tasks because a person has a different in appearance, which varies along with environment even same age. And also, pose, lighting condition or expression has an effect to estimate human age. Age estimation has challenged due to...
In this paper, we present a postural analysis system for sailing user on dinghy yacht simulators. The proposed system detects the partitioned specific body parts of the user, extracts feature points of the body parts, and estimates posture information of the user based on the feature points. The extracted feature points are used as information for determining the position and posture of the sailing...
Objects with non-Lambertian reflecting surfaces suffer severe appearance changes according to the change of observer's angle of view. Thus it is difficult to obtain a consistent object model. This paper addresses the problem of bin picking for such objects without using explicit object models. Due to the above-mentioned reasons, traditional pattern matching approaches are difficult to apply. Furthermore,...
For the use of sports simulators, there is a need for the implementation of proper functions for the realistic movement mechanism, the relative riding content, and the effective personalized training. In this paper, we present a posture analysis system for a rider on a sports simulator. The proposed system provides a personalized postural training function suited to the user based on their logging...
Vision-based object recognition has been studied intensively because of many application fields, especially, manufacturing process in industrial robot application. But it has been challenged due to illumination effect, diverse material object, atypical shape object, etc. In this paper, multiple object recognition including complex shape object has been proposed. The object is consisted of variable...
In this paper, we present an interactive interface for a sports simulator to provide natural interoperation and customized functions suited to the user based on the identified user's logging and coaching data. The proposed system performs the control function between the user and sports simulator system. The system recommends a personalized exercise mode based on the user's historical information...
Small quantity batch production is a major trend in modem society and making the production line intelligent is a key for the purpose. Especially, the vision system should be able to be easily modified to recognize a variety of objects. In this paper, a novel vision system that can be trained to recognize completely new target object set of around 10 classes in an hour is proposed. An hour limitation...
This paper proposes user segmentation algorithm using moving edge detection to provide customized coaching service to users in advanced sports simulator like horse riding. To give this service in the simulator, exact user segmentation is very important. If the segmenting user from its background became better, we will get a better pose recognition results. In this paper, some of the well-known object...
IT technologies have started to be applied to many fields such as sports science, robotics or BT. Especially, object detection and recognition using vision sensor has intensively studied due to diverse application fields. But, various illumination condition, pose or time progress have put object detection and recognition to challenge task in the real world. In this paper, face detection and recognition...
In this paper, we present a space identification system and its robot application using wearable devices. The system was developed to recognize the current space information of the user based on data fusion from signal strengths, infrared lights, and network topology information through a wireless sensor network environment. The system was also implemented to determine on reference to the result data...
The development of cell manufacturing process using object recognition has been interested in automated factory. But it is not trivial work to recognize object because features transformed from illumination and diversified field needs have caused challenge problem in object detection and recognition. The recognition reliability in real world environment can be increased by object, which preserves...
This paper presents an elder care robot system for older people. An elder care robot system provides human-robot interaction application and monitoring service. The study was carried out for five weeks in nursing homes, with the participation of 17 residents. We have conducted a t-test to compare the difference between satisfaction and usability evaluation for the residents and the staff.
The vision-based bin picking using object recognition has been considered as an innovative manufacturing process in industrial robotics applications. In bin picking system, pick and place tasks are performed by robot which has been processed by measuring object pose. But it has to address challenge problems such as object appearance distorted by overlapping parts, lighting variation or reflection,...
In this paper, we present a method of location recognition for elderly-care robot services in an indoor environment. In the proposed method, the user's location is determined more accurately through a fusion process of the available received signal strength indicator (RSSI) information and light sensor information using a wearable device. All the information is sent and stored in a server through...
Ubiquitous location-based services have become a popular trend these days as a next-generation paradigm. Various research studies are underway to provide the location-based services through wireless sensor networks in an indoor environment. In this paper, we present a user's location recognition system based on environmental sensor data in an indoor living space. The system gathers the environmental...
In this paper, we present an indoor location recognition system using environmental sensors. The system gathers the environmental data and extracts the feature data from them. It also recognizes and classifies the current location information of the user. We describe the configuration of the sensor module used for location recognition, and present a recognition system that is designed and implemented...
As the digital convergence trend becomes common, much attention is being paid to a device provided with a gesture sensor. In this paper, we propose a system for recognizing user's gestures and controlling a robot based on multi-level data fusion. The system includes some function modules such as sensing of movements, recognition of hand gestures, mapping into particular gesture commands, and controlling...
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