Walking ability have a strong relationshop to health in elderly poeple. However, daily walking ability assessment is difficult because it is conventionally measured only in medical facilities or elderly house by home-visit care. In this work, we propose a system…
We are challenging to realize hand shape recognition using a wrist-worn device. Potential applications are remote control of home electronics, gaming interface and so on. With arrays of photo reflectors, the device acquires the shape of a wrist contour that…
Predicting current or future ability of daily living has strong impact for health care, such as advising people to improve their way of life. This research deals with a system for estimating elderly people’s current IADL scores from pyro-electric sensors…
Takuhiro Kaneko received IBM Best Student Paper Award for the following paper at ICPR2012 (21st International Conference on Pattern Recognition), which was held on November 11-15, 2012, in Tsukuba, Japan. Track: Signal, Speech and Image/Video Processing Takuhiro Kaneko，Masamichi Shimosaka, Shigeyuki Odashima, Rui…
Recently Wi-Fi positioning systems are gaining popularity in pervasive computing and machine learning community. However, collecting a sufficient amount of calibration data is rather tedious and time consuming, especially indoor scenarios where GPS coverage is unavailable. To alleviate this problem,…
Recognizing daily activities from lifelog images is useful for intelligent human support systems. Since the activities have multiple components such as persons or objects, traditional computer vision techniques (e.g. Dalal-Triggs HOG pedestrian detector) cannot handle them properly. In this work,…
Living in society and interacting with others, going outside one’s house is almost inevitable for healthy life. There is increasing attention to this behavior, including pervasive computing, medical science, etc. There are various factors to affect the daily going-out behavior…
We are developing the machine learning method for estimation about pedestrian number by using single camera in the crowded environments. Counting people is valuable for applications such as traffic analysis. In the crowded environment, detection or tracking of each individual…
This project is how to model the driving behavior, such as cautious or aggressive driving, from data of sensors on cars. Specifically, our method learns the model fitting to each individual driver, situation, and physical condition, even if the training…
For executing flexible support or substitution for residents’ behaviors, it is important to recognize and predict their ever-changing activities. From that background, we realized some novel methods of sensing residents’ data of daily life and predicting the target behaviors for…