| 2021

The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson’s Patients

Gait analysis is crucial for the detection and management of various neurological and musculoskeletal disorders. The identification of gait events is valuable for enhancing gait analysis, developing accurate monitoring systems, and evaluating treatments for pathological gait. The aim of this work is to introduce the Smart-Insole Dataset to be used for the development and evaluation of computational methods focusing on gait analysis. Towards this objective, temporal and spatial characteristics of gait have been estimated as the first insight of pathology. The Smart-Insole dataset includes data derived from pressure sensor insoles, while 29 participants (healthy adults, elderly, Parkinson’s disease patients) performed two different sets of tests: The Walk Straight and Turn test, and a modified version of the Timed Up and Go test. A neurologist specialized in movement disorders evaluated the performance of the participants by rating four items of the MDS-Unified Parkinson’s Disease Rating Scale. The annotation of the dataset was performed by a team of experienced computer scientists, manually and using a gait event detection algorithm. The results evidence the discrimination between the different groups, and the verification of established assumptions regarding gait characteristics of the elderly and patients suffering from Parkinson’s disease.


gait analysis, parkinson’s disease, insoles, pressure sensors, dataset


Chariklia Chatzaki, Vasileios Skaramagkas, Nikolaos Tachos, Georgios Christodoulakis, Evangelia Maniadi, Zinovia Kefalopoulou, Dimitrios I. Fotiadis, Manolis Tsiknakis

Institution / Department

Biomedical Informatics and eHealth Laboratory, Department of Electrical and Computer Engineering, Hellenic Mediterranean University

Need help?
Want a live demo?
Interested in prices?
Want to say hello?
Always just a call away
+49 89 2000 301 60

Wireless Data Transmission

The wireless data transmission from OpenGo Sensor Insoles to the mobile device uses intelligent handshake technology to avoid the loss of data packages, even when the connection quality is below 100 %.

Typical wireless range of the Bluetooth Low Energy connection in indoor settings is ≥ 10 m, in in-field settings up to 20 m.

Get support

Check our FAQ database for answers to frequently asked questions!

Describe your issue in as much detail as possible. Include screenshots or files if applicable.

A problem was detected in the following Form. Submitting it could result in errors. Please contact the site administrator.

Have a general inquiry?

Write us a message for general questions about products and solutions or if you’d like to discuss other topics.

Select your desired system


Cutting edge mobile gait assessments and sports movement tests for trainers and therapists


The most versatile toolkit for free data acquisition and comprehensive analytics in research

Select your desired system


The cutting edge test based outcome assessment system for health professionals and trainers


The most versatile toolkit for free data acquisition and comprehensive analytics in research

The form was sent successfully.

You will be contacted shortly.


Stay one step ahead!

Subscribe to our newsletter for the latest information on case studies, webinars, product updates and company news