A self-calibrating system of distributed acoustic arrays
A self-calibrating system of distributed acoustic arrays
The design and implementation of a self-calibrating distributed acoustic sensing platform
Proceedings of the 4th international conference on Embedded networked sensor systems
EmStar: a software environment for developing and deploying wireless sensor networks
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
IEEE Transactions on Signal Processing
Acoustic source localization using the acoustic ENSBox
Proceedings of the 6th international conference on Information processing in sensor networks
Emstar: A software environment for developing and deploying heterogeneous sensor-actuator networks
ACM Transactions on Sensor Networks (TOSN)
Acoustic laptops as a research enabler
Proceedings of the 4th workshop on Embedded networked sensors
RCRT: rate-controlled reliable transport for wireless sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
VoxNet: An Interactive, Rapidly-Deployable Acoustic Monitoring Platform
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Design and evaluation of a compiler for embedded stream programs
Proceedings of the 2008 ACM SIGPLAN-SIGBED conference on Languages, compilers, and tools for embedded systems
Flask: staged functional programming for sensor networks
Proceedings of the 13th ACM SIGPLAN international conference on Functional programming
Accurate, fast fall detection using posture and context information
Proceedings of the 6th ACM conference on Embedded network sensor systems
Resource aware programming in the Pixie OS
Proceedings of the 6th ACM conference on Embedded network sensor systems
Design, implementation, and evaluation of EnviroMic: A storage-centric audio sensor network
ACM Transactions on Sensor Networks (TOSN)
Recovering temporal integrity with Data Driven Time Synchronization
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Discovery of sound sources by an autonomous mobile robot
Autonomous Robots
Exploiting low complexity motion for ad-hoc localisation
International Journal of Sensor Networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
RCRT: Rate-controlled reliable transport protocol for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
IDEA: integrated distributed energy awareness for wireless sensor networks
Proceedings of the 8th international conference on Mobile systems, applications, and services
PANDAA: physical arrangement detection of networked devices through ambient-sound awareness
Proceedings of the 13th international conference on Ubiquitous computing
A generalization of the adaptive rejection sampling algorithm
Statistics and Computing
Low power or high performance? a tradeoff whose time has come (and nearly gone)
EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
A sensor network-based multiple acoustic source localization algorithm
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Localization with sparse acoustic sensor network using UAVs as information-seeking data mules
ACM Transactions on Sensor Networks (TOSN)
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Field biologists use animal sounds to discover the presence of individuals and to study their behavior. Collecting bioacoustic data has traditionally been a difficult and time consuming process in which researchers use portable microphones to record sounds while taking notes of their own detailed observations. The recent development of new deployable acoustic sensor platforms presents opportunities to develop automated tools for bio-acoustic field research. In this work, we implement an AML-based source localization algorithm, and use it to localize marmot alarm-calls. We assess the performance of these techniques based on results from two field experiments: (1) a controlled test of direction-of-arrival (DOA) accuracy using a pre-recorded source signal, and (2) an experiment to detect and localize actual animals in their habitat, with a comparison to ground truth gathered from human observations. Although small arrays yield ambiguities from spatial aliasing of high frequency signals, we show that these ambiguities are readily eliminated by proper bearing crossings of the DOAs from several arrays. These results show that the AML source localization algorithm can be used to localize actual animals in their natural habitat, using a platform that is practical to deploy.