Validation and User Evaluation of a Sensor-Based Method for Detecting Mobility-Related Activities in Older Adults

Hilde A. E. Geraedts*, Wiebren Zijlstra, Helco G. Van Keeken, Wei Zhang, Martin Stevens

*Corresponding author voor dit werk

OnderzoeksoutputAcademicpeer review

14 Citaten (Scopus)
356 Downloads (Pure)


Regular physical activity is essential for older adults to stay healthy and independent. However, daily physical activity is generally low among older adults and mainly consists of activities such as standing and shuffling around indoors. Accurate measurement of this low-energy expenditure daily physical activity is crucial for stimulation of activity. The objective of this study was to assess the validity of a necklace-worn sensor-based method for detecting time-on-legs and daily life mobility related postures in older adults. In addition user opinion about the practical use of the sensor was evaluated. Twenty frail and non-frail older adults performed a standardized and free movement protocol in their own home. Results of the sensor-based method were compared to video observation. Sensitivity, specificity and overall agreement of sensor outcomes compared to video observation were calculated. Mobility was assessed based on time-on-legs. Further assessment included the categories standing, sitting, walking and lying. Time-on-legs based sensitivity, specificity and percentage agreement were good to excellent and comparable to laboratory outcomes in other studies. Category-based sensitivity, specificity and overall agreement were moderate to excellent. The necklace-worn sensor is considered an acceptable valid instrument for assessing home-based physical activity based upon time-on-legs in frail and non-frail older adults, but category-based assessment of gait and postures could be further developed.

Originele taal-2English
Aantal pagina's11
TijdschriftPLoS ONE
Nummer van het tijdschrift9
StatusPublished - 11-sep.-2015


Duik in de onderzoeksthema's van 'Validation and User Evaluation of a Sensor-Based Method for Detecting Mobility-Related Activities in Older Adults'. Samen vormen ze een unieke vingerafdruk.

Citeer dit