Tracking indoor activities of patients with mild cognitive impairment using motion sensors

Tsang Wai Hung Nelson, Umair Mujtaba Qureshi, Lam Kam-Yiu, Joseph K Y NG, Han Song, Papavasileiou Ioannis

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

In order to maintain a healthy living both physiologically and psychologically, it is important for patients with mild cognitive impairment (MCI) to maintain active in daily life. In this paper, we demonstrate how to use simple motion sensors, e.g. accelerometers, gyroscopes and magnetometers, to design and develop a system, called ActiveLife, for effective tracking of the daily living activities of MCI patients within their living rooms. In order to simplify the activity detection process, in ActiveLife, we adopt the context-based approach to model the common activities performed by the user within a day. Since the accelerometer and gyroscope are tri-axial sensors, the sensor data for different axes can be used to predict the current posture of the user while he is performing an activity. Combining with the heading direction of the posture obtained from the magnetometer and distance traveled during the transition of activities, we can estimate the current activity of the user. To further improve the estimation accuracy, we have designed an algorithm using the machine-learning technique, i.e. support vector machines (SVM), for activity classification.

Original languageEnglish
Title of host publicationProceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
EditorsTomoya Enokido, Hui-Huang Hsu, Chi-Yi Lin, Makoto Takizawa, Leonard Barolli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages431-438
Number of pages8
ISBN (Electronic)9781509060283
DOIs
Publication statusPublished - 5 May 2017
Event31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 - Taipei, Taiwan, Province of China
Duration: 27 Mar 201729 Mar 2017

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
Country/TerritoryTaiwan, Province of China
CityTaipei
Period27/03/1729/03/17

Scopus Subject Areas

  • Engineering(all)

User-Defined Keywords

  • Activity Tracking
  • Context-based Approach
  • Dementia
  • Motion Sensors
  • Support Vector Machines

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