Next Article in Journal
Experimental Study on Vibration Control of a Submerged Pipeline Model by Eddy Current Tuned Mass Damper
Next Article in Special Issue
Wearable Current-Based ECG Monitoring System with Non-Insulated Electrodes for Underwater Application
Previous Article in Journal
A New Line for Laser-Driven Light Ions Acceleration and Related TNSA Studies
Previous Article in Special Issue
Which Method Detects Foot Strike in Rearfoot and Forefoot Runners Accurately when Using an Inertial Measurement Unit?
Open AccessFeature PaperReview

An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring

1
Machine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Immerwahrstrasse 2a, 91058 Erlangen, Germany
2
College of Information and Computer Sciences, University of Massachusetts, Amherst, MA 01003, USA
3
Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
*
Author to whom correspondence should be addressed.
Appl. Sci. 2017, 7(10), 986; https://doi.org/10.3390/app7100986
Received: 5 August 2017 / Revised: 12 September 2017 / Accepted: 14 September 2017 / Published: 25 September 2017
New smart technologies and the internet of things increasingly play a key role in healthcare and wellness, contributing to the development of novel healthcare concepts. These technologies enable a comprehensive view of an individual’s movement and mobility, potentially supporting healthy living as well as complementing medical diagnostics and the monitoring of therapeutic outcomes. This overview article specifically addresses smart shoes, which are becoming one such smart technology within the future internet of health things, since the ability to walk defines large aspects of quality of life in a wide range of health and disease conditions. Smart shoes offer the possibility to support prevention, diagnostic work-up, therapeutic decisions, and individual disease monitoring with a continuous assessment of gait and mobility. This overview article provides the technological as well as medical aspects of smart shoes within this rising area of digital health applications, and is designed especially for the novel reader in this specific field. It also stresses the need for closer interdisciplinary interactions between technological and medical experts to bridge the gap between research and practice. Smart shoes can be envisioned to serve as pervasive wearable computing systems that enable innovative solutions and services for the promotion of healthy living and the transformation of health care. View Full-Text
Keywords: smart shoes; digital health; eHealth; mHealth; machine learning; Parkinson’s disease; sensor-based gait analysis; telehealth smart shoes; digital health; eHealth; mHealth; machine learning; Parkinson’s disease; sensor-based gait analysis; telehealth
Show Figures

Figure 1

MDPI and ACS Style

Eskofier, B.M.; Lee, S.I.; Baron, M.; Simon, A.; Martindale, C.F.; Gaßner, H.; Klucken, J. An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring. Appl. Sci. 2017, 7, 986.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop