AIMC Topic: Movement

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Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance.

Sensors (Basel, Switzerland)
We introduce a set of input models for fusing information from ensembles of wearable sensors supporting human performance and telemedicine. Veracity is demonstrated in action classification related to sport, specifically strikes in boxing and taekwon...

Adaptive Human Force Scaling via Admittance Control for Physical Human-Robot Interaction.

IEEE transactions on haptics
The goal of this article is to design an admittance controller for a robot to adaptively change its contribution to a collaborative manipulation task executed with a human partner to improve the task performance. This has been achieved by adaptive sc...

Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.

IEEE transactions on medical imaging
Patient motion during dynamic PET imaging can induce errors in myocardial blood flow (MBF) estimation. Motion correction for dynamic cardiac PET is challenging because the rapid tracer kinetics of 82Rb leads to substantial tracer distribution change ...

Research on the Application of Intelligent Choreography for Musical Theater Based on Mixture Density Network Algorithm.

Computational intelligence and neuroscience
Musical choreography is usually completed by professional choreographers, which is very professional and time-consuming. In order to realize the intelligent choreography of musical, based on the mixed density network (MDN), this paper generates the d...

Towards human-level performance on automatic pose estimation of infant spontaneous movements.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants. In order to develop algorithms for automated prediction of later disorders, highly precise localization of segments and joints by infant pose ...

Programming material compliance and actuation: hybrid additive fabrication of biocomposite structures for large-scale self-shaping.

Bioinspiration & biomimetics
We present a hybrid approach to manufacturing a new class of large-scale self-shaping structures through a method of additive fabrication combining fused granular fabrication (FGF) and integrated hygroscopic wood actuators (HWAs). Wood materials natu...

Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations.

NeuroImage
In addition to the well-established somatotopy in the pre- and post-central gyrus, there is now strong evidence that somatotopic organization is evident across other regions in the sensorimotor network. This raises several experimental questions: To ...

Detecting Animal Contacts-A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts.

Sensors (Basel, Switzerland)
The identification of social interactions is of fundamental importance for animal behavioral studies, addressing numerous problems like investigating the influence of social hierarchical structures or the drivers of agonistic behavioral disorders. Ho...

Detecting fine and elaborate movements with piezo sensors provides non-invasive access to overlooked behavioral components.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of behavior remain out of reach of available phenotyping systems. We now report on a novel device, which consists in an open-field platform resting on hig...

Sensing small interaction forces through proprioception.

Scientific reports
Understanding the human motor control strategy during physical interaction tasks is crucial for developing future robots for physical human-robot interaction (pHRI). In physical human-human interaction (pHHI), small interaction forces are known to co...