Overview
The aim of the study is to examine suitability of data and processed reports acquired from the Smart Hallway system for clinical settings in terms of user acceptability and accuracy for use in clinical practice.
Description
The goal of the study is to use off-the-shelves markerless and contactless technologies and automatically digitise the person's movements as they walk through an institutional hallway. Multi-camera-based technologies can merge 2D-video into 3D-information. With an appropriate software, one can acquire data, perform the kinematic calculations and generate a report, all with minimal or no human intervention. The specific research question are whether pathological gait or walking disorders of the patients can be identified and classified based on the system's output, whether signs of depression can be classified from the the system's output, and whether the results of the 6-minute walk test can be predicted from the the system's output.
Eligibility
Inclusion Criteria:
- ability to walk at least 10 metres without help of a person,
- no severe cognitive problems (able to answer questionnaires),
- native Slovenian speakers,
- wiling to participate (signed informed consent)
Exclusion Criteria:
- severe cognitive impairment,
- not being able to walk with or without a prosthesis or orthosis.