Remarks on multimodal nonverbal interface and its application to controlling mobile robot
This paper proposes a multimodal nonverbal interface system using bio-potential signals, such as EOG and EMG, and image processing and investigates its possibility of applying to control a mobile robot. To evaluate the feasibility and the characteristics of the multimodal nonverbal interface system, teleoperation control experiments of the robot are carried out. By comparing the experimental results with those obtained using a conventional keyboard interface, the effectiveness of the proposed interface system is confirmed.
Computer vision in the interface
There are still obstacles to achieving general, robust, high-performance computer vision systems. The last decade, however, has seen significant progress in vision technologies for human-computer interaction.
Face Recognition Vendor Test 2002: Overview and Summary
The Face Recognition Vendor Test (FRVT) 2002 is an independently administered technology evaluation of mature face recognition systems. FRVT 2002 provides performance measures for assessing the capability of face recognition systems to meet requirements for large-scale real world applications. Ten commercial firms participated in FRVT 2002. FRVT 2002 computed performance statistics on an extremely large dataset—121,589 operational facial images of 37,437 individuals. FRVT 2002 1) characterized identification and watch list performance as a function of database size, 2) estimated the variability in performance for different groups of people, 3) characterized performance as a function of elapsed time between enrolled and new images of a person and 4) investigated the effect of demographics on performance. FRVT 2002 shows that recognition from indoor images has made substantial progress since FRVT 2000. Demographic results show that males are easier to recognize than females and that older people are easier to recognize than younger people. FRVT 2002 also assessed the impact of two techniques for improving face recognition: three-dimensional morphable models, and face recognition from video sequences. Results show that three-dimensional morphable models increases performance, and that face recognition from video sequences offers only a limited increase in performance over still images. For FRVT 2002, a new XML-based evaluation protocol was developed. This protocol is flexible and supports evaluations of biometrics in general.