AIMC Topic: Locomotion

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Fast animal pose estimation using deep neural networks.

Nature methods
The need for automated and efficient systems for tracking full animal pose has increased with the complexity of behavioral data and analyses. Here we introduce LEAP (LEAP estimates animal pose), a deep-learning-based method for predicting the positio...

Comparison of physical and behavioral traits between dairy cows with low and high somatic cell count.

Preventive veterinary medicine
The objective of this study was to examine associations of locomotion score, hygiene, body condition score (BCS), lying behavior, and milk production with dairy cow somatic cell count (SCC; low or high). Cows from 14 commercial free-stall dairy herds...

Wrist accelerometer shape feature derivation methods for assessing activities of daily living.

BMC medical informatics and decision making
BACKGROUND: There has been an increasing interest in understanding the usefulness of wrist-based accelerometer data for physical activity (PA) assessment due to the ease of use and higher user compliance than other body placements. PA assessment stud...

EuMoBot: replicating euglenoid movement in a soft robot.

Journal of the Royal Society, Interface
Swimming is employed as a form of locomotion by many organisms in nature across a wide range of scales. Varied strategies of shape change are employed to achieve fluidic propulsion at different scales due to changes in hydrodynamics. In the case of m...

Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.

Biological cybernetics
Template models of legged locomotion are powerful tools for gait analysis, but can also inspire robot design and control. In this paper, a spring-loaded inverted pendulum (SLIP) model is employed to control vertical hopping of a 2-segmented legged ro...

Afferent Input Induced by Rhythmic Limb Movement Modulates Spinal Neuronal Circuits in an Innovative Robotic In Vitro Preparation.

Neuroscience
Locomotor patterns are mainly modulated by afferent feedback, but its actual contribution to spinal network activity during continuous passive limb training is still unexplored. To unveil this issue, we devised a robotic in vitro setup (Bipedal Induc...

Inferring locomotor behaviours in Miocene New World monkeys using finite element analysis, geometric morphometrics and machine-learning classification techniques applied to talar morphology.

Journal of the Royal Society, Interface
The talus is one of the most commonly preserved post-cranial elements in the platyrrhine fossil record. Talar morphology can provide information about postural adaptations because it is the anatomical structure responsible for transmitting body mass ...

Locomotion of arthropods in aquatic environment and their applications in robotics.

Bioinspiration & biomimetics
Many bio-inspired robots have been developed so far after careful investigation of animals' locomotion. To successfully apply the locomotion of natural counterparts to robots for efficient and improved mobility, it is essential to understand their pr...

How Much Does Movement and Location Encoding Impact Prefrontal Cortex Activity? An Algorithmic Decoding Approach in Freely Moving Rats.

eNeuro
Specialized brain structures encode spatial locations and movements, yet there is growing evidence that this information is also represented in the rodent medial prefrontal cortex (mPFC). Disambiguating such information from the encoding of other typ...

A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells.

The European journal of neuroscience
Spatial cells in the hippocampal complex play a pivotal role in the navigation of an animal. Exact neural principles behind these spatial cell responses have not been completely unraveled yet. Here we present two models for spatial cells, namely the ...