Research のバックアップ(No.1)
Scope †
Regardless of complex, unfamiliar, and dynamically-changing environments, living creatures, especially humans, can adapt to them in real-time and behave appropriately. To understand the adaptation mechanisms, and to realize intelligent artificial systems based on the mechanisms, we are (1) investigating human visuomotor learning process, (2) developing a computational model of neural networks with high-adaptive, and (3) designing adaptive personal robots and human interfaces.
Projects †
BCI Neuro-rehabilitation †
EEG-FES based Rehabilitation System for Lower Limb †
According to recent neuro-rehabilitation research, an appropriate re-afferent sensory feedback synchronized with a voluntary motor intention would be effective for promoting neural plasticity in stroke rehabilitation. Due to this, a BCI-based neuro-robotic rehabilitation is considered to be a promising approach. To detect the motor intention, an event-related desynchronization (ERD), which can be evoked by intrinsic motor imagery is usually used. However there exist various factors that affect ERD production, and its neural mechanism is still an open question. As a preliminary stage for realizing an effective neuro-robotic rehabilitation system, we evaluate mutual effects of extrinsic (visual and somatosensory stimuli) and intrinsic (spontaneous motor imagery) factors in ERD production. Experimental results indicate that these three factors are complicatedly interacting with each other and probably affect our sense of agency.
- Yohei Takata, Kotaro Takeda, Rieko Osu, Yohei Otaka, Toshiyuki Kondo, Koji Ito, A Proposal of EEG-FES based Rehabilitation System for Lower Limbs, The 26th Symposium on Biological and Physiological Engineering (BPES 2011), (9/22, 2011)
Human Motor Learning †
Simultaneous learning of conflicting visuomotor rotations †
Regarding simultaneous learning of two opposing force fi elds, it has been reported that a random schedule is significantly better than training that alternates at every trial, even if the total number of experiences is the same in both cases. Thus we assumed that this is because the alternating training schedule gave no opportunities of experiencing the same visuomotor rotation successively. To test this assumption, we compared three training conditions where the rotational transformation type (1) alternated every trial, (2) alternated every two trials, or (3) changed randomly. Experimental results suggest that providing subjects with the opportunity of successive trials has a small positive e ect on simultaneous learning of two con icting visuomotor rotations compared with training that alternates conditions at every trial. However, subjects trained with random schedule still show a signi cant advantage in comparison with subjects trained in either alternating schedule.
Also we developed a manipulandum that can realize arbitrary fore fields.
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- Toshiyuki Kondo, Yuya Kobayashi, Takayuki Nozawa: Effect of Successive Experiences on Simultaneous Learning of Conflicting Visuomotor Rotations, IROS2008 Full Day Workshop, Nice, France, 26, September 2008.
Motor Learning by Attentive Observation †
In a recent super-aged society, much attention has been paid to the technology for rehabilitation support. By extracting the process of a more effective motor learning, the lost motor function might be able to be recovered at the early stage. Then, we are studying the influence that observing an objective movement beforehand gives to the following study by using the haptic device and functional neuroimaging technology.
- Toshiyuki Kondo, Kazuto Nakamura, Takayuki Nozawa: Motor Learning by Attentive Observation, The 4th International Symposium on Measurement, Analysis and Modeling of Human Functions (ISHF2010), Prague, 14-16, June 2010.
EMG-based Cybernetic Interface †
- Yuma Sasaki, Toshiyuki Kondo, A Proposal of EMG-based Teleoperation Interface for Distance Mobility, The 2011 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011), Anchorage, Alaska (10/13, 2011)
- Chiharu Arakawa, Toshiyuki Kondo, A Study on Foot Gesture Recognition for Portable Device Operation, The 26th Symposium on Biological and Physiological Engineering (BPES 2011), (9/22, 2011)
- Toshiyuki Kondo, Osamu Amagi, Takayuki Nozawa: Proposal of Anticipatory Pattern Recognition for EMG Prosthetic Hand Control, Proc. the 2008 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 12-15, October 2008.
Sports training support system using real time EMG feedback †
Knowledge about skilled movements and its extraction techniques would be valuable for practical applications such as digital archiving of skilled technicians, sports training support systems for beginners, and developing a novel rehabilitation procedure for aged or disabled people. Aiming at the sports training support application, we have investigated human motor skills, such as basketball dribbling and throwing darts movement by using a high-speed camera and simultaneous recording of electromyogram.
- Hiroshi Yamaguchi, Toshiyuki Kondo, Analysis of Motor Skill for Throwing Darts: Measurement of Release Timing, SICE Annual Conference 2011, Waseda University, Tokyo, (9/16, 2011)
- Seimei Abe, Takayuki Nozawa, Toshiyuki Kondo: A Proposal of EMG-based Training Support System for Basketball Dribbling, Proc. of HCI International 2009, San Diego, USA, 19-24, July 2009.
Personal robot design for a lasting human-agent interaction (HAI) †
- Toshiyuki Kondo, Daisuke Hirakawa, Takayuki Nozawa: Sustainability and Predictability in a Lasting Human-Agent Interaction, Proc. the Eight International Conference on Intelligent Virtual Agents, pp.505-506, Tokyo, Japan, 2008.
Intelligent photo browser for flood of personal digital photographs †
APC (Automatic Photo Classifier) demo: http://www.livingsys.lab.tuat.ac.jp/APC/
- Yuki Orii, Takayuki Nozawa, Toshiyuki Kondo, Web-based Intelligent Photograph Management System Enhancing Browsing Experience, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.14, No.4, pp.390-395, 2010.
- Yuki Orii, Takayuki Nozawa, Toshiyuki Kondo: User study of Automatic Photo Classifier by Color and Timestamp, Proc. of IEEE/WIC/ACM International Workshop on Web Intelligence (IWI’09), Milan, Italy, 15, September 2009.
- Yuki Orii, Takayuki Nozawa, Toshiyuki Kondo: Web-based Intelligent Photo Browser for Flood of Personal Digital Photographs, Proc. International Workshop on Web Intelligence (IWI’08), Sydney, 9-12, December 2008.
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