We present a hands-free AR work support system that provides work instructions to workers without interrupting normal work procedures. This system estimates the work progress by monitoring the status of work objects only on the basis of 3D data captured from a depth sensor mounted on a helmet, and it selects appropriate information to be displayed on a head-mounted display (HMD) on the basis of the estimated work progress. We describe a prototype of the proposed system and the results of primary experiments carried out to evaluate the accuracy and performance of the system.

A hybrid biometric system, which is combined with a touch-panel-based finger-vein-identification device and a deformable-registration-based face-identification module, is proposed. For this system, the touch-panel-based device is developed for access control at a facility. For finger-vein identification, a user only needs to touch the device screen. At the same time, face images of the user are acquired and enrolled in the face-identification module. Access control and surveillance inside the facility are performed by the face-identification module. The touch-panel-based device can not only provide high-accuracy authentication but also greatly reduce the user's burden during finger-vein-pattern acquisition. Furthermore, a face-alignment and identification algorithm based on deformable registration is proposed. A performance evaluation of the proposed hybrid biometric system demonstrated that the system can provide biometric authentication with both high reliability and user convenience.

Accurate and quantitative analysis of human hand motion requires an understanding of the kinematics of the proximal and distal interphalangeal joints in three dimensions. This paper presents a technique to investigate in-vivo finger joint kinematics using magnetic resonance (MR) imaging. Bone surface models were extracted from MR images of the right hand of ten healthy subjects in four different postures. The relative motion of adjacent bones for all subjects was calculated and expressed as the helical axis and the angles around the axes of local bone coordinate system. The motion data indicated the change of axis orientation with flexion. After carefully selecting the subject and a pose with an appropriate flexional angle, studies determined that the mean inclination between the axes of the proximal and distal interphalangeal joints was approximately 14 [deg].

This paper proposes the total protocol to determine the link structure of a human hand using optical motion capture data. The difficulty in capturing hand motion comes from the hand's relatively high degrees of freedom located in very small space. To deal with the problem caused by closeness between markers, the number of markers is reduced. The effect of reduced markers is compensated by simplifying the problem. The adverse effect of skin movement and the limited range of movement is avoided by regulating the calibration motion appropriately. A link estimation experiment is performed to show the effectiveness of the proposed method.

This paper deals with the modeling of the human hand posture of object operation. Preliminary observation experiment has been conducted on mouse operation by 5 subjects. The contact area of both on hands and on mice shows us that there are some patterns in the strategy of how to locate the basis of the hand with respect to the mouse. In addition, the preference of joint angle acuteness has been observed. The hand model and the method to acquire and organize the quantitative data are shown.

Abstract There are basically four problems to solve in order to produce realistic animated synthetic actors with hair: hair modeling and creation, hair motion, collision detection and hair rendering. This paper describes a complete methodology to solve these basic four problems. We present how hair styles may be designed with our Hair Styler module. Then we survey the animation model and emphasize a method of collision processing. Finally, we explain how hair may be rendered using an extension of a standard ray‐tracing program. We also show applications of our synthetic actors with various hair styles and different styles of mustaches and beards.

article Free Access Share on A simple method for extracting the natural beauty of hair Authors: Ken-ichi Anjyo Hitachi Research Lntmratory, 4026 Kuji, Hitachi, Ibaraki 319-12, Systems Engineering Division, IIitachi, Ltd., 4-6, Kanda-Surugadai, Chiyoda Tokyo 101 Hitachi Research Lntmratory, 4026 Kuji, Hitachi, Ibaraki 319-12, Systems Engineering Division, IIitachi, Ltd., 4-6, Kanda-Surugadai, Chiyoda Tokyo 101View Profile , Yoshiaki Usami Hitachi Research Lntmratory, 4026 Kuji, Hitachi, Ibaraki 319-12 Hitachi Research Lntmratory, 4026 Kuji, Hitachi, Ibaraki 319-12View Profile , Tsuneya Kurihara Hitachi Central Resenrch LAmratory, 1-280 Higashi-Koigakubo, Kokubunji, Tokyo 185 Hitachi Central Resenrch LAmratory, 1-280 Higashi-Koigakubo, Kokubunji, Tokyo 185View Profile Authors Info & Claims ACM SIGGRAPH Computer GraphicsVolume 26Issue 2July 1992 pp 111–120https://doi.org/10.1145/142920.134021Published:01 July 1992Publication History 139citation2,443DownloadsMetricsTotal Citations139Total Downloads2,443Last 12 Months159Last 6 weeks23 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF