We have developed an interactive video-based walking exercise system aimed at preventing frailty. In our system, users perform walking exercises using a stepper while watching video footage of walking a path. The feature of our system is that users can create interactive video content within the system themselves. The users who are physically capable of walking outdoors can not only use the system, but also easily create video content for the system by walking outdoors while pushing a dedicated cart system. Thus, since it is possible to perform walking exercises while updating the contents on their own, it is expected that motivation for exercises can be improved.
In this study, we have developed a novel method that enables the visualization of light rays in the air and interaction with these rays. In this method, the first step involves illuminating light rays in a space filled with mist to visualize the rays within the space. Subsequently, by applying a Micro Mirror Array Plate (MMAP) to the visualized rays, it becomes possible to visualize the light rays in the air without mist. Users can interact with the visualized light rays in the air by touching or moving them with their fingers.
In this study, we have developed a system to support walking rehabilitation in hospitals. This system utilizes a LiDAR and a Kinect sensor, allowing for the acquisition of various walking information, such as stride length, step width, walking speed, and center of body mass movement, simply by walking naturally. The measured walking information can be instantly reviewed on a tablet device. This system provides value by allowing patients to quantitatively perceive the effectiveness of their rehabilitation.
In this study, we have developed a digital content for computational thinking education for early children using Origami: creating an object by folding a paper. The distinctive feature of the content developed in this study is the combination of Origami with educational effects related to mathematics and spatial perception, along with robot control through visual programming commonly used in computational thinking education. By implementing the system and conducting workshops, we validated the usefulness of the proposed content.
In this study, we have developed a projection mapping system that projects images onto the ground using projectors mounted on an auto-driving cart. By reflecting the position information for auto-driving in the projected image, we realize projection mapping in which the image changes appropriately as the cart moves. In an experiment using a prototype system, we confirmed that projection mapping by our method can realize the expression that the characters appear in the headlights as the cart moved.
In this paper, we propose a method to make children’s playground equipment more thrilling using VR technology. A user plays a playground equipment while wearing smartphone VR goggles. Another smartphone is put on the playground equipment to acquire its movement. The same playground equipment used in the real space is prepared in the VR space, and the user can play with it in the VR space as well as the real space. At this time, the size and the movement of the playground equipment can be changed in the VR space. By increasing the size or accelerating the movement of the playground equipment, the equipment for children can become more thrilling in the VR space while feeling the actual movement of the playground equipment. We implemented a prototype system and tested our method.
In this paper, we propose an interactive projection mapping using multiple chairs. In this content, images are projected from the celling to the seat of the chairs. The projected image would change depending on the arrangement of the chairs interactively. When the chairs are placed apart, a small image is projected on the seat of each chair. When the chairs are gathered, a large image is projected on the entire set of the chair seat. We implemented a miniature prototype system and experimented.
In recent years in Japan, the labor shortage has become serious problem in various fields of industry because of declining birthrate and aging. Among them, welding work requires training and qualifications to master the welding work, and it is one of the areas where personnel shortage is prominent. Therefore, utilization of information technology for welding skill training is expected. In this paper, we propose to utilize AR technology for welding skill training. We developed a system which can visualize the posture during welding and show a guide for welding in real space by using AR technology for training and supporting welding works.
In this paper, we propose a welding skill training system for beginners using VR technology. In this system, a user can do welding in a virtual space in some situations, and a user can also observe welding operation by an expert from any point in a virtual space. Experimental result suggested that this system would be effective for welding skill training for beginners.
This paper presents an investigation of optimal feature value set in false positive reduction process for the automated method of enlarged abdominal lymph node detection. We have developed the automated abdominal lymph node detection method to aid for surgical planning. Because it is important to understand the location and the structure of an enlarged lymph node in order to make a suitable surgical plan. However, our previous method was not able to obtain the suitable feature value set. This method was able to detect 71.6% of the lymph nodes with 12.5 FPs per case. In this paper, we investigate the optimal feature value set in the false positive reduction process to improve the method for automated abdominal lymph node detection. By applying our improved method by using the optimal feature value set to 28 cases of abdominal 3D CT images, we detected about 74.7% of the abdominal lymph nodes with 11.8 FPs/case.
This paper presents an automated method of abdominal lymph node detection to aid the preoperative diagnosis of abdominal cancer surgery. In abdominal cancer surgery, surgeons must resect not only tumors and metastases but also lymph nodes that might have a metastasis. This procedure is called lymphadenectomy or lymph node dissection. Insufficient lymphadenectomy carries a high risk for relapse. However, excessive resection decreases a patient's quality of life. Therefore, it is important to identify the location and the structure of lymph nodes to make a suitable surgical plan. The proposed method consists of candidate lymph node detection and false positive reduction. Candidate lymph nodes are detected using a multi-scale blob-like enhancement filter based on local intensity structure analysis. To reduce false positives, the proposed method uses a classifier based on support vector machine with the texture and shape information. The experimental results reveal that it detects 70.5% of the lymph nodes with 13.0 false positives per case.
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