This paper is in the following e-collection/theme issue:

Frailty Detection, Assessment and Prediction (66) Mobile Devices and Apps for Seniors and Healthy Aging (274) Aging in Place (393) Wearable Devices and Sensors (1152) Digital Biomarkers and Digital Phenotyping (292)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77322, first published .
Using Indoor Movement Complexity in Smart Homes to Detect Frailty in Older Adults: Multiple-Methods Case Series Study

Using Indoor Movement Complexity in Smart Homes to Detect Frailty in Older Adults: Multiple-Methods Case Series Study

Using Indoor Movement Complexity in Smart Homes to Detect Frailty in Older Adults: Multiple-Methods Case Series Study

Authors of this article:

Katherine Wuestney1 Author Orcid Image ;   Diane Cook2 Author Orcid Image ;   Catherine Van Son1 Author Orcid Image ;   Roschelle Fritz3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Katherine Wuestney   1 , PhD ;   Diane Cook   2 , MSci, PhD ;   Catherine Van Son   1 , MSN, PhD ;   Roschelle Fritz   3 , MSN, PhD

1 College of Nursing, Washington State University, Pullman, WA, United States

2 School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, United States

3 Betty Irene Moore School of Nursing, UC Davis Health System, Sacramento, CA, United States

Corresponding Author:

  • Roschelle Fritz, MSN, PhD
  • Betty Irene Moore School of Nursing
  • UC Davis Health System
  • 2570 48th St
  • Sacramento, CA 95817
  • United States
  • Phone: 1 916 734 2145
  • Email: rlfritz@ucdavis.edu