Continuous measuring of the indoor walking speed of older adults living alone

Original Research

DOI: 10.1007/s12652-017-0456-x

Cite this article as:
Aicha, A.N., Englebienne, G. & Kröse, B. J Ambient Intell Human Comput (2017). doi:10.1007/s12652-017-0456-x


We present a method for measuring gait velocity of older adults using data from existing ambient sensor networks. Gait velocity is an important predictor of fall risk and functional health. In contrast to other approaches that use specific sensors or sensor configurations, our method imposes no constraints on the elderly. We studied different probabilistic models for the modeling of the duration and the distance of the indoor walking paths. Experiments are carried out on 27 months of sensor data and include repeated assessments from an occupational therapist. We showed that gait velocities can be measured with low variance and correlate with most assessments. The advantage of our monitoring system is that because of the continuous measurements, clearer trends can be extracted than from incidental assessments of the occupational therapist.


Gait velocity Smart homes Sensor monitoring Ambient assisted living 

Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.The Department of Computer ScienceAmsterdam University of Applied SciencesAmsterdamThe Netherlands
  2. 2.The Department of Computer ScienceUniversity of AmsterdamAmsterdamThe Netherlands

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