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Soundfield imaging is a novel technique for efficiently encoding, representing and processing the wave field captured by a microphone array. Some of the possible applications include source and reflector localization. In this manuscript we discuss the resolution properties of the soundfield image and the trade-offs that need to be considered while designing the “soundfield camera”. Then we propose...
Automatic food intake monitoring can be significantly beneficial in the fight against obesity and weight management in our society today. Different sensing modalities have been used in several research efforts to accomplish automatic food intake monitoring with acoustic sensors being the most common. In this study, we explore the ability to learn spectral patterns of food intake acoustics from a clean...
Gunshot acoustic localization for military and urban security systems has long been an important topic of research. In recent years the development of independent Unmanned Ground Sensors (UGS), interconnected through Wireless Sensor Networks (WSN), performing distributed cooperative localization, has grown in popularity. This paper proposes an asynchronous method of gunshot localization, performed...
This paper presents the results of an indoor localization experiment that uses spread spectrum modulated audio signals. Indoor spaces do not have line-of-sight to global navigation satellite systems and do not have a truly universal localization system to allow mobile devices to localize themselves. Previous approaches focused in using custom made hardware with several types of signals that, even...
Assisted living for people with disabilities remains a current research challenge. Many systems have been developed to help disabled and frail people gain their self-sufficiency during their activities of daily living (ADL). In this article, we propose a new design concept to help visually impaired (VI) elderly patients move in their home environment. The system is made of a light-weight medical walker...
Depression is a common mental disorder and one of the main causes of disability worldwide. Lacking objective depressive disorder assessment methods is the key reason that many depressive patients can't be treated properly. Developments in affective sensing technology with a focus on acoustic features will potentially bring a change due to depressed patient's slow, hesitating, monotonous voice as remarkable...
We propose a graph matching based approach to identify multiple people in an indoor localization system by using the infrastructure camera along with microphone and speaker in a smart phone. Given a frame captured by the camera, an attributed graph is composed by considering each person in the frame as the vertice and the distance between people derived from the locations provided by the camera as...
We propose application of Opportunistic Resource Utilization Networks (Oppnets), a novel type of Mobile Ad Hoc NETworks (MANETs), for ad hoc networking of Unmanned Aerial Vehicles (UAVs) in surveillance missions. Oppnets provide effective resource virtualization and adaption to highly dynamic and unstable nature of MANETs. They can be viewed as middleware to facilitate building flexible and adaptive...
The Underwater Acoustic Sensor Networks (UWASN) has sensors which are deployed underwater for gathering information for the unexplored parts of oceans or rivers. UWASN consists of variable number of floating and anchored sensors, sink and vehicles that are deployed over an area to be explored. Thus the deployment efforts of UWASN have curbed with preposterous budgetary price and eminent power depletion...
Virtual Auditory Display (VAD) is a system, which displays acoustic spatial information toward two ears. There are several variations of construction of VAD system. The most popular system is binaural system with headphones. Listener often moves his/her heads unconsciously in listening. Therefore, the rendering acoustic space should be responsive to head movement. Moreover, VAD system responsive to...
Building a high-end aerial robot for research is a challenging task. Our aim in this paper is to design a compact hexacopter capable of high payload and has flexible gimbal and powerful onboard computer with $ 500. This hexacopter serves as a flying platform with great customizability, where different sensors can be mounted easily onto the hexacopter for new applications. We discuss our implementation...
The relative transfer function (RTF), i.e. the ratio of acoustic transfer functions between two sensors, can be used for sound' source localization / beamforming based on a microphone array. The RTF is usually defined with respect to a unique reference sensor. Choosing the reference sensor may be a difficult task, especially for dynamic acoustic environment and setup. In this paper we propose to use...
Due to the many constraints the existing drones have provided only one-time operation sequence that an operator manipulate it directly within the line of sight and charge the battery after the end of the flight. In this paper, we overcome these problems and suggest a solution to utilize a drone as the round-the-clock surveillance system. It is composed by the active landing-field which can support...
Partial discharge (PD) measurement on power transformers has become an established approach for transformer insulation diagnostics. Acoustic measurement can be used to detect PD in power transformers. With this technique a detection and localization of PD is possible by placing acoustic sensors on transformer tank surfaces. One advantage of this acoustic approach is it is less subject to electrical...
Complementary metal oxide semiconductor (CMOS) technology lies at the heart of all computing and communications equipment, and has also been very successful as an image sensing technology, revolutionising digital imaging. New possibilities for CMOS are now being explored and delivered, including applications in gene sequencing, cell sorting, terahertz imaging and image fusion. We present recent data...
The mini UAV systems design, from the electronic hardware point of view, implies stronger limitations to weight and power consumption. In the case of non-homogenous architecture and different algorithms, we can use a single processor unit like PC or ARM. But in the case of complex algorithm with great amount of data coming from sensors, there is a great problem with stability and real time responses...
This paper describes an acoustic navigation system that provides mesoscale coverage (hundreds of kilometers) under the ice and presents results from the first multi-month deployment in the Arctic. The hardware consists of ice-tethered acoustic navigation beacons transmitting at 900 Hz that broadcast their latitude and longitude plus several bytes of optional control data. The real-time under-ice navigation...
In the Ligurian Sea, 40km off the coast of Toulon and thus not far from the city of Genova which hosts the Oceans'15 MTS/IEEE conference, takes place an outstanding joint effort between astroparticle physicists and marine biologists named ANTARES. Astrophysics and marine biology come to work closely at underwater observatories which can be used on the one hand for the light and acoustic detection...
In this paper we present an adaptive sampling approach for a distributed multi-AUV source localization algorithm. The algorithm is composed of different bio-inspired behaviours for invoking collective behaviour in a multi-agent system. The adaptive sampling approach shows significant performance improvement in terms of mean arrival times over the previously reported static sampling approach for both...
Acoustic Vector Sensors are underwater sensors that measure acoustic pressure as well as the acoustic particle velocity to estimate the acoustic intensity. The acoustic intensity, which is a vector quantity, represents the magnitude and direction of the active or propagating part of an acoustic field thus indicating the DOA(Direction of arrival) of a received signal. This paper dwells on an Iterative...
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