Smartphones are becoming more widespread, in recent times, and their users upload and accumulate large scale location data. Thanks to their population-scale location history data, analyzing urban (population) dynamics encourages data-driven urban city design. This is what we call a…
Driving safety technology has been actively studied, and contributed to reduce the number of traffic accidents, however, the reduction rate of traffic accidents is still low on residential roads or zone 30. On residential roads, the principal causes of traffic…
We propose a novel method for consistent collective activity recognition in video images. Collective activities are activities performed by multiple persons, such as queuing in a line, talking together, and waiting at an intersection. Since it is often difficult to…
Abstract The proliferation of smart phones makes it increasingly feasible to build crowdsensing systems that gather large-scale sensor data. One of the important applications of crowdsensing systems is location-based services such as enhanced local search and recommendation, games, and social…
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…
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…