Thursday, 2023/03/30

  • CS/AI
  • C
  • TITECH
  • Switch Language
    • ja日本語 (Japanese)
    • enEnglish

Shimosaka Research Group

pursuing MIUBIQ (machine intelligence in UbiComp Research)

  • Home
    • Members
    • Location
  • News
  • Projects
  • Publications
  • Awards
  • Archives
    • Codes
    • Datasets
Navigation
News Our paper on Easy-to-install system for daily walking ability assessment with sensor array has been published in Journal of Ambient Intelligence and Smart Environments.

Our paper on Easy-to-install system for daily walking ability assessment with sensor array has been published in Journal of Ambient Intelligence and Smart Environments.

2015/06/23 | News | 2080 views |

Our paper on Easy-to-install system for daily walking ability assessment with sensor array
has been published in Journal of Ambient Intelligence and Smart Environments.

We have designed the proposed system for measuring and assessing the performance of locomotive movement of
elderly person in ubiquitous setting i.e. the sensor pervasively measure the locomotive movement in a daily-house.
We make installation process easy for this purpose.

The paper is publicly available, i.e. open access in the following url, please check our paper.

Fukui Rui, Ifuku Hirotaka, Watanabe Masahiko, Shimosaka Masamichi and Sato Tomomasa
Easy-to-install system for daily walking ability assessment using a distance sensor array
Journal of Ambient Intelligence and Smart Environments, vol. 7, no. 3, 2015

  • tweet

Comments are disabled for this post

Social Networks

  • twitter
  • rss

Recent News

  • Device-Free Multi-Person Indoor Localization Using the Change of ToF 2023/03/03
  • Presenting our paper on Device-Free Multi-Person Indoor Localization Using the Change of ToF at PerCom2023 2023/02/28
  • Our paper on Efficient Adaptive Beacon Deployment Optimization for Indoor Crowd Monitoring has been published in IMWUT. 2023/01/24
  • Presenting our paper on Robust Continuous MaxEnt IRL with RRT at IV2022 2022/06/09
  • Presenting our paper on Efficient Indoor Localization Model Construction by Sequential Recommendation of Data Gathering Position based on Bayesian Optimization at IPIN2021 2021/11/29
  • Adaptive incremental beacon placement optimization for crowd density monitoring applications 2021/11/01
  • Presenting 2 papers at ACM SIGSPATIAL 2021 2021/11/01
  • Fine-grained Urban Dynamics Prediction using Large-Scale Mobile Phone Location Data 2021/10/05
  • Robustifying Wi-Fi localization by Between-Location data augmentation 2021/09/28
  • Our paper on robustifying Wi-Fi localization by “Between-Location” data augmentation has been published in IEEE Sensors Journal 2021/09/17

Search

Copyright 2015 · Shimosaka Research Group at TITECH