Research and Development of Eye-Glance Input Interface

- In this research, we are researching and developing eye-glance input interface using web camera. We use web camera to take a picture of eye and analyze it to measure the eye movement. It is difficult to identify the point of gaze for gaze input, but it is easy to estimate the direction of eye movement (upper or lower, right or left). So this system uses a round trip of oblique eye movement to detect input.



Research and Development of EEG Input Interface

- This research is aimed at research and development of interface using VEP (Visual Evoked Potentials). VEP are brain waves induced by visual stimuli. VEP changes when visual stimulus is different. The Brain input interface uses the properties of this VEP. Let the user gaze at the item that consists of multiple blinking stimuli. VEP are measured, and judge the item user is seeing. In the previous study, it was necessary for VEP data of about 20 seconds to be discrimination. In this laboratory, we had proposed a method which can be discrimination in a few seconds.



The Analyze of muscle contraction mechanism using multi-channel surface EMG

- The purpose of this research is to explore the functional characteristic of motor units involved in muscle contraction. An algorithm which specifies the conductive waves quantitatively and objectively has been developed. Different analysis methods for conductive wave measurements were used and their potential have been assessed. This research aims at identifying and analyzing the variation between different muscles during contraction in order to have a better understanding of the detailed internal mechanism and support rehabilitation.



Estimation of Autonomic Nervous Activity by Facial Thermal Images

- It is very important for workers to evaluate their MWL, in terms of preventing and reducing human errors and the associated health hazard. Autonomic nerves system are active under mental work-load (MWL). Since nasal skin temperature is said to provide a good reaction of autonomic nerve activity. In our research group, we have evaluated and estimated MWL by autonomic nervous activity using facial skin thermal image measured by infrared thermography.



Realization of efficient virtual reality

- In this research, we are researching and developing virtual reality such as multimodal display and haptic sensation. When presenting information to users, it is necessary for the information presentation method to be efficient in order to produce information that is perceived in a short time and robustly.



Research and Development of skin potential activity interface

- Recently, Mental Work-Load (:MWL) due to the use of mobile phones and tablet PC has become a major social problem. When a human being feels the mental burden, such as tension or excitement, mental sweating appears at the site, such as the back of the palm and feet. Along with this, skin potential of these sites change. Currently, skin potential activity is measured using the whole arm. If we measure mental sweating with skin potential activity by the electrode of the palm only, be able to develop a novel portable burden evaluation interface that can measure the MWL just hold.



Research and Development using biological information

- In addition, the laboratory conducts various research and development using biological information!


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