Literature DB >> 19965285

Activity density map dis-similarity comparison for eldercare monitoring.

Shuang Wang1, Marjorie Skubic, Yingnan Zhu.   

Abstract

This paper describes ongoing work in analyzing sensor data logged in the homes of seniors. A visualization of motion sensor data in the form of a density map which uses different colors to show levels of activity was introduced previously. For evaluating changes in activity level and periodicity of life style, we introduce a dis-similarity measurement of density maps based on co-occurrence matrices. The dis-similarity between two density maps is captured using texture features for automatically determining changes in activity patterns. A case study is included to illustrate how the density map can be used to track activity patterns over time.

Mesh:

Year:  2009        PMID: 19965285     DOI: 10.1109/IEMBS.2009.5335252

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Using Passive Sensing to Estimate Relative Energy Expenditure for Eldercare Monitoring.

Authors:  Shuang Wang; Marjorie Skubic; Yingnan Zhu; Colleen Galambos
Journal:  Proc IEEE Int Conf Pervasive Comput Commun       Date:  2011-03-21

2.  Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living.

Authors:  Gregory L Alexander; Marilyn Rantz; Marjorie Skubic; Richelle J Koopman; Lorraine J Phillips; Rainer D Guevara; Steven J Miller
Journal:  J Healthc Eng       Date:  2011       Impact factor: 2.682

3.  Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment.

Authors:  Marjorie Skubic; Rainer Dane Guevara; Marilyn Rantz
Journal:  IEEE J Transl Eng Health Med       Date:  2015-04-10       Impact factor: 3.316

4.  Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data.

Authors:  Laura Fiorini; Filippo Cavallo; Paolo Dario; Alexandra Eavis; Praminda Caleb-Solly
Journal:  Sensors (Basel)       Date:  2017-05-04       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.