scholarly journals HAPADEP: Human-Assisted Pure Audio Device Pairing

Author(s):  
Claudio Soriente ◽  
Gene Tsudik ◽  
Ersin Uzun
Keyword(s):  
2020 ◽  
Vol 19 (3) ◽  
pp. 697-710 ◽  
Author(s):  
Arne Brusch ◽  
Ngu Nguyen ◽  
Dominik Schurmann ◽  
Stephan Sigg ◽  
Lars Wolf

Author(s):  
Jie Lian ◽  
Xu Yuan ◽  
Ming Li ◽  
Nian-Feng Tzeng

The fall detection system is of critical importance in protecting elders through promptly discovering fall accidents to provide immediate medical assistance, potentially saving elders' lives. This paper aims to develop a novel and lightweight fall detection system by relying solely on a home audio device via inaudible acoustic sensing, to recognize fall occurrences for wide home deployment. In particular, we program the audio device to let its speaker emit 20kHz continuous wave, while utilizing a microphone to record reflected signals for capturing the Doppler shift caused by the fall. Considering interferences from different factors, we first develop a set of solutions for their removal to get clean spectrograms and then apply the power burst curve to locate the time points at which human motions happen. A set of effective features is then extracted from the spectrograms for representing the fall patterns, distinguishable from normal activities. We further apply the Singular Value Decomposition (SVD) and K-mean algorithms to reduce the data feature dimensions and to cluster the data, respectively, before input them to a Hidden Markov Model for training and classification. In the end, our system is implemented and deployed in various environments for evaluation. The experimental results demonstrate that our system can achieve superior performance for detecting fall accidents and is robust to environment changes, i.e., transferable to other environments after training in one environment.


2018 ◽  
Vol 20 (1) ◽  
pp. 517-550 ◽  
Author(s):  
Mikhail Fomichev ◽  
Flor Alvarez ◽  
Daniel Steinmetzer ◽  
Paul Gardner-Stephen ◽  
Matthias Hollick
Keyword(s):  

2021 ◽  
Vol 5 (1) ◽  
pp. 73-88
Author(s):  
Yasir Arfat Malkani ◽  
Moez Ahmed Malik ◽  
Lachhman Das Dhomeja ◽  
Bisharat Rasool Memon ◽  
Abdul Waheed Mahesar

Due to the rapid growth of small and smart hand-held devices, mobile ad hoc networks (MANets) are becoming very common nowadays. MANets may consist of a number of small hand-held devices having limited resources in terms of memory, battery and processing power. In order to provide services to the users, these devices are capable of communicating with each other through some radio technology, such as WiFi, Bluetooth or Infrared. Since radio channels are inherently vulnerable to various security threats, it requires that devices in MANets must establish a secure association amongst themselves before exchanging any sensitive information or data. The process of establishing a secure channel between two devices is referred to as device pairing or device association. Device pairing do not rely on traditional mechanisms for security due to the impulsive and ad hoc interactions among the devices. Due to this, researchers have proposed many schemes/protocols to deal with this issue; however, the issue of group pairing (i.e. secure association of more than two devices) is less addressed issue in the literature yet. There could be many scenarios (such as confidential office meetings, paring of group of home appliances in smart-homes, etc) of MANets, where secure group communications is desired. Consequently, this research focuses on this issue and proposes a QR (quick response) code based scheme to establish a secure channel between a numbers of devices. The proposed system is implemented and tested on modern hand-held devices and a usability study of the implemented system is also carried out.


2007 ◽  
Author(s):  
Jochen Peter ◽  
Patti M. Valkenburg ◽  
Alexander P. Schouten

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