Next Article in Journal
Feasibility of Using Graphene Oxide Nanoflake (GONF) as Additive of Cement Composite
Next Article in Special Issue
Towards an ICT-Based Platform for Type 1 Diabetes Mellitus Management
Previous Article in Journal
Fatigue Resistance Evaluation of Modified Asphalt Using a Multiple Stress Creep and Recovery (MSCR) Test
Previous Article in Special Issue
Finger Angle-Based Hand Gesture Recognition for Smart Infrastructure Using Wearable Wrist-Worn Camera
Open AccessReview

New Advances and Challenges of Fall Detection Systems: A Survey

by Tao Xu 1, Yun Zhou 2,* and Jing Zhu 1
School of Software and Microelectronics, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an 710072, Shaanxi, China
School of Education, Shaanxi Normal University, 199 South Chang’an Road, Xi’an 710062, Shaanxi, China
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(3), 418;
Received: 31 January 2018 / Revised: 22 February 2018 / Accepted: 6 March 2018 / Published: 12 March 2018
(This article belongs to the Special Issue Advanced Internet of Things for Smart Infrastructure System)
Falling, as one of the main harm threats to the elderly, has drawn researchers’ attentions and has always been one of the most valuable research topics in the daily health-care for the elderly in last two decades. Before 2014, several researchers reviewed the development of fall detection, presented issues and challenges, and navigated the direction for the study in the future. With smart sensors and Internet of Things (IoT) developing rapidly, this field has made great progress. However, there is a lack of a review and discussion on novel sensors, technologies and algorithms introduced and employed from 2014, as well as the emerging challenges and new issues. To bridge this gap, we present an overview of fall detection research and discuss the core research questions on this topic. A total of 6830 related documents were collected and analyzed based on the key words. Among these documents, the twenty most influential and highly cited articles are selected and discussed profoundly from three perspectives: sensors, algorithms and performance. The findings would assist researchers in understanding current developments and barriers in the systems of fall detection. Although researchers achieve fruitful work and progress, this research domain still confronts challenges on theories and practice. In the near future, the new solutions based on advanced IoT will sustainably urge the development to prevent falling injuries.
Keywords: fall detection; survey; smart sensor; Internet of Things fall detection; survey; smart sensor; Internet of Things
Show Figures

Graphical abstract

MDPI and ACS Style

Xu, T.; Zhou, Y.; Zhu, J. New Advances and Challenges of Fall Detection Systems: A Survey. Appl. Sci. 2018, 8, 418.

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

Back to TopTop