André, Michel

Delory, Eric

Van der Schaar, Mike Connor Roger Malcolm

UPCommons

Sperm whale (physeter macrocephalus) acoustic identification

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INSTRUMENTATION VIEWPOINTSessions105SPERM WHALE (PHYSETER MACROCEPHALUS) ACOUSTIC IDENTIFICATIONMike van der Schaar, Eric Delory and Michel André.Laboratori d’Aplicacions BioacústiquesUniversitat Politécnica de Catalunya (UPC)mike.vanderschaar@upc.edu, http://www.lab.upc.esCentre Tecnológic de Vilanova i la GeltrúAvda. Rambla Exposició, s/n08800 Vilanova i la GeltrúBarcelona, EspanyaRecordings of a group of diving sperm whales are often made with a small towed array from a boat. This type of array usually does not allow accurate bearing estimation of sources of the received signals, which makes it diffi  cult to separate the whales in the recordings or to identify which animal produced which signal. Additionally, the sig-nals themselves are infl uenced by sea noise and are strongly direc-tional, both complicating the use of learning classifi ers. We present classifi cation results comparing the use of radial basis functions and support vector machines for identifi cation, both using Gaussian ker-nels. Using features extracted from the signals with a local discrimi-nant basis, these classifi ers were able to distinguish between seven whales for the duration of a click train with 80% accuracy. Support vector machines showed best generalisation towards an entire dive for one whale, using only a small segment at the start of the dive for learning, with an accuracy of 79%. DATA AND IMAGE ACQUISITION SYSTEM TO MEASURE EMERGENCE ACTIVITY RHYTHMS ON NEPHROPS NORVEGICUS POPULATION ASSESSMENTDavid Sarriá1, Joaquín Del Río1, Antoni Mànuel1, Jacopo Aguzzi2, Francesc Sardà21. Centre Tecnològic de Vilanova i la Geltrú (SARTI),Rambla de l’Exposició s/n, 08800 Vilanova i la Geltrú, Spain2. Institut de Ciències del Mar. CSICPasseig Marítim de la Barceloneta 37, 08003 Barcelona, SpainKeywords: infrared, USB, image acquistion, LabVIEW, MatlabIntroductionThe Norway Lobster, Nephrops Norvegicus (L.), is a decapod crus-tacean inhabiting of complex burrow systems in the muddy conti-nental shelves and slopes of the Atlantic and Mediterranean Europe. These species are fi shed intensively in the Mediterranean and they are showing signs of overexploitation.The project objective is a system design for CSIC marine biologists group that measure the emergency rate of the Norway lobster and permits characterize this specie studying diff erent modulation vari-ables like sex, size, food presence, isolation or coexistence in group.Since the animals are only captured when they are outside the bur-rows, the estimations of the biomass populations of this important fi shing resource are unknown, to be able to determine and to quan-tify what number from the population emerges and which are the causes constitutes the biological purpose.Twelve aquariums with artifi cial burrow properly equipped and pre-pared were developed to mount the system and extract the behavior of isolated Norway Lobsters (one by aquarium).System desing The solution to detect presence in aquatic surroundings without using wiring inside the acuariums and not to induce stress to the Norway lobster has been using infrared emitters and receivers [1] outside the aquarium (the infrared wavelengths are not detected by Nephrops [2-3]). They are placed forming detection vertical barriers and positioning them in strategic zones allows to detect the step and location of the Norway lobster in the aquarium.An innovative and customized acquisition system has been devel-oped that is able to acquire up to 64 photodiodes incorporated in each of the twelve aquarium tanks. The infrared signals of each aquar-ium are acquired by a low cost microcontroller with an integrated AD converter [4] and sent to the host computer using USB protocol [5]. Another developed subsystem controls the day light photoperiod and illuminates the aquarium from above with IR and blue light (480nm) [3]. A low cost USB infrared camera complements the system and permits to view each aquarium in darkness. Applying vision algorithms [6] is possible to confront the results obtained with infrared sensors.Fig. 1. Assembly of infrared barriers in one aquarium tank M12

Sperm whale (physeter macrocephalus) acoustic identification

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