Monitoring attitude and dynamic acceleration of free-moving aquatic animals using a gyroscope

Noda, Takuji; Okuyama, Junichi; Koizumi, Toru; Arai, Nobuaki; Kobayashi, Masato

doi:10.3354/ab00448

Cited by 24 publications

(25 citation statements)

References 38 publications

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“…SA and BR were estimated using the magnetometer method; results for the gyroscope method (not shown) were almost identical. The R (Noda et al, 2012;Fourati et al, 2011a,b). The first is that lowfrequency signals in the sensor data, such as from slow orientation changes and sensor drift, are removed by high-pass filtering.…”

Section: Resultsmentioning

confidence: 99%

“…Although MEMS rate gyroscopes are beginning to be used in animal tags (Noda et al, 2012) these have several drawbacks. MEMS gyroscopes measure the force needed to rotate a vibrating frame out of its plane of oscillation, producing a signal that is proportional to the turn rate.…”

Section: Introductionmentioning

confidence: 99%

“…As orientation is derived by integrating the gyroscope signals, complex processing is needed to combat drift in the orientation estimates due to integration of sensor noise and temperature-induced changes in calibration (Luinge and Veltink, 2005). Drift can be combated both by periodic correction using another orientation sensor and by processing the sensor signals with a Kalman filter (Noda et al, 2012), non-linear estimator (Fourati et al, 2011b) or complementary filter (Fourati et al, 2011a) to track and remove the drift. The independent orientation estimate is typically obtained from accelerometers and magnetometers during intervals in which SA is presumed to be minimal, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The independent orientation estimate is typically obtained from accelerometers and magnetometers during intervals in which SA is presumed to be minimal, e.g. gliding (Fourati et al, 2009;Noda et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Tracking the kinematics of caudal-oscillatory swimming: a comparison of two on-animal sensing methods

López

Soto

Miller

et al. 2016

Journal of Experimental Biology

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Studies of locomotion kinematics require high-resolution information about body movements and the specific acceleration (SA) that these generate. On-animal accelerometers measure both orientation and SA but an additional orientation sensor is needed to accurately separate these. Although gyroscopes can perform this function, their power consumption, drift and complex data processing make them unattractive for biologging. Lower power magnetometers can also be used with some limitations. Here, we present an integrated and simplified method for estimating body rotations and SA applicable to both gyroscopes and magnetometers, enabling a direct comparison of these two sensors. We use a tag with both sensors to demonstrate how caudal-oscillation rate and SA are adjusted by a diving whale in response to rapidly changing buoyancy forces as the lungs compress while descending. The two sensors gave similar estimates of the dynamic forces, demonstrating that magnetometers may offer a simpler low-power alternative for miniature tags in some applications.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tracking the kinematics of caudal-oscillatory swimming: a comparison of two on-animal sensing methods

López

Soto

Miller

et al. 2016

Journal of Experimental Biology

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“…As stroking generates both specific acceleration and body rotations at the stroking rate, these two movement components cannot be quantified separately without additional sensors (Sato et al, 2007;Simon et al, 2012). Gyroscopes can provide independent information about orientation, enabling estimation of the specific acceleration when combined with magnetometers and accelerometers, but the power consumption and drift of miniature gyroscopes (Noda et al, 2012) make them unattractive for animal biologging devices.…”

Section: Introductionmentioning

confidence: 99%

Gait switches in deep-diving beaked whales: biomechanical strategies for long-duration dives

López

Miller

Soto

et al. 2015

Journal of Experimental Biology

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Diving animals modulate their swimming gaits to promote locomotor efficiency and so enable longer, more productive dives. Beaked whales perform extremely long and deep foraging dives that probably exceed aerobic capacities for some species. Here, we use biomechanical data from suction-cup tags attached to three species of beaked whales (Mesoplodon densirostris, N=10; Ziphius cavirostris, N=9; and Hyperoodon ampullatus, N=2) to characterize their swimming gaits. In addition to continuous stroking and strokeand-glide gaits described for other diving mammals, all whales produced occasional fluke-strokes with distinctly larger dorsoventral acceleration, which we termed 'type-B' strokes. These high-power strokes occurred almost exclusively during deep dive ascents as part of a novel mixed gait. To quantify body rotations and specific acceleration generated during strokes we adapted a kinematic method combining data from two sensors in the tag. Body rotations estimated with high-rate magnetometer data were subtracted from accelerometer data to estimate the resulting surge and heave accelerations. Using this method, we show that stroke duration, rotation angle and acceleration were bi-modal for these species, with B-strokes having 76% of the duration, 52% larger body rotation and four times more surge than normal strokes. The additional acceleration of B-strokes did not lead to faster ascents, but rather enabled brief glides, which may improve the overall efficiency of this gait. Their occurrence towards the end of long dives leads us to propose that B-strokes may recruit fast-twitch fibres that comprise ∼80% of swimming muscles in Blainville's beaked whales, thus prolonging foraging time at depth.

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A new direction for differentiating animal activity based on measuring angular velocity about the yaw axis

Gunner

Wilson

Holton

et al. 2020

Ecology and Evolution

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The use of animal‐attached data loggers to quantify animal movement has increased in popularity and application in recent years. High‐resolution tri‐axial acceleration and magnetometry measurements have been fundamental in elucidating fine‐scale animal movements, providing information on posture, traveling speed, energy expenditure, and associated behavioral patterns. Heading is a key variable obtained from the tandem use of magnetometers and accelerometers, although few field investigations have explored fine‐scale changes in heading to elucidate differences in animal activity (beyond the notable exceptions of dead‐reckoning). This paper provides an overview of the value and use of animal heading and a prime derivative, angular velocity about the yaw axis, as an important element for assessing activity extent with potential to allude to behaviors, using “free‐ranging” Loggerhead turtles ( Caretta caretta ) as a model species. We also demonstrate the value of yaw rotation for assessing activity extent, which varies over the time scales considered and show that various scales of body rotation, particularly rate of change of yaw, can help resolve differences between fine‐scale behavior‐specific movements. For example, oscillating yaw movements about a central point of the body's arc implies bouts of foraging, while unusual circling behavior, indicative of conspecific interactions, could be identified from complete revolutions of the longitudinal axis. We believe this approach should help identification of behaviors and “space‐state” approaches to enhance our interpretation of behavior‐based movements, particularly in scenarios where acceleration metrics have limited value, such as for slow‐moving animals.

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Monitoring attitude and dynamic acceleration of free-moving aquatic animals using a gyroscope

Cited by 24 publications

References 38 publications

Tracking the kinematics of caudal-oscillatory swimming: a comparison of two on-animal sensing methods

Tracking the kinematics of caudal-oscillatory swimming: a comparison of two on-animal sensing methods

Gait switches in deep-diving beaked whales: biomechanical strategies for long-duration dives

A new direction for differentiating animal activity based on measuring angular velocity about the yaw axis

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