TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags
Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2015, Vol 1, Issue 2
Abstract
Falls are among the leading causes of hospitalization for the elderly and illness individuals. Considering that the elderly often live alone and receive only irregular visits, it is essential to develop such a system that can effectively detect a fall or abnormal activities. However, previous fall detection systems either require to wear sensors or are able to detect a fall but fail to provide fine-grained contextual information (e.g., what is the person doing before falling, falling directions). In this paper, we propose a device-free, fine-grained fall detection system based on pure passive UHF RFID tags, which not only is capable of sensing regular actions and fall events simultaneously, but also provide caregivers the contexts of fall orientations. We first augment the Angle-based Outlier Detection Method (ABOD) to classify normal actions (e.g., standing, sitting, lying and walking) and detect a fall event. Once a fall event is detected, we first segment a fix-length RSSI data stream generated by the fall and then utilize Dynamic Time Warping (DTW) based kNN to distinguish the falling direction. The experimental results demonstrate that our proposed approach can distinguish the living status before fall happening, as well as the fall orientations with a high accuracy. The experiments also show that our device-free, fine-grained fall detection system offers a good overall performance and has the potential to better support the assisted living of older people.
Authors and Affiliations
Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas Falkner, Xue Li, Tao Gu
Keywords
Related Articles
- EP ID EP46460
- DOI http://dx.doi.org/10.4108/eai.22-7-2015.2260072
- Views 434
- Downloads 0
BLE or IEEE 802.15.4: Which Home IoT Communication Solution is more Energy-Efficient?
IEEE 802.15.4 (used by Zigbee, 6LoWPAN and Thread) and Bluetooth Low Energy (BLE) are two widely used wireless standards for ultra low power IoT (Internet of Things) technologies and smart home applications. In this arti...
A Capability – Driven modelling approach applied in smart transportation & management systems for large scale events
Economic growth in Europe has been, strongly associated with urbanization, overwhelming cities with vehicles. This renders mobility inside cities problematic, since it is often associated with large waste of time in traf...
BER and NCMSE based Estimation algorithms for Underwater Noisy Channels
Channel estimation and equalization of sparse multipath channels is a real matter of concern for researchers in the recent past. Such type of channel impulse response is depicted by a very few significant non-zero taps t...
IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement?
Citizens are increasingly crowdfunding IoT based participatory sensing technologies that allow them to collect and share data about the environment. These initiatives are usually referred to as grassroots and are driven...
Modeling and Experimental Analysis of an In-body Area Nanonetwork
Nanotechnology is gaining more and more consensus in several application fields, comprised in-body applications. Innovative therapies and diagnostic approaches are based on the use of injections or oral delivery of nanop...