Motion Pattern Preserving IK Operating in the Motion Principal Coefficients Space

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Background: Sit-to-stand and stand-to-sit transitions are frequent daily functional tasks indicative of muscle power and balance performance. Monitoring these postural transitions with inertial sensors provides an objective tool to assess mobility in both ...

Traction-separation relations due to large scale bridging in composites are very important in modeling their fracture response. Several works demonstrated that such relations are dependent upon the specimen's stiffness and loading conditions. Experimental ...

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Rigid foldability allows an origami pattern to fold about crease lines without twisting or stretching component panels. It enables folding of rigid materials, facilitating the design of foldable structures. Recent study shows that rigid foldability is affe ...

Sensor system (1) comprising a frame (306) supporting a force-sensing tip (310) arranged to generate a signal based upon a force applied by said force-sensing tip (310) to a material to be tested,characterised in that said system (1) further comprises:- an ...

Spurred by the recent advancements in Computer-Aided Design (CAD), Integral Mechanical Attachment (IMA) technique has been resurrected. Using IMAs, connections between timber elements are established through their form, instead of using additional connecto ...

Mechanical watches are complex and sensitive systems that have to maintain a faultless precision over their lifetime. However, this precision can be altered by disturbances occurring during the functioning time, such as friction, lubricant drying, or wear, ...

A chemo-dynamical analysis of 115 metal-poor candidate stars selected from the narrow band Pristine photometric survey is presented based on CFHT high-resolution ESPaDOnS spectroscopy, We have discovered 28 new bright (V < 15) stars with I Fe/H]

This paper introduces Memory-limited Online Subspace Estimation Scheme (MOSES) for both estimating the principal components of streaming data and reducing its dimension. More specifically, in various applications such as sensor networks, the data vectors a ...

Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building supervised or unsupervised machine learning models. Principal covariates regression (PC ...

Motion Pattern Preserving IK Operating in the Motion Principal Coefficients Space

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Postural transitions detection and characterization in healthy and patient populations using a single waist sensor

Towards a geometry independent traction-separation and angle relation due to large scale bridging in DCB configuration

An inverse optimization approach to understand human acquisition of kinematic coordination in bimanual fine manipulation tasks

Rigid foldability and mountain-valley crease assignments of square-twist origami pattern

Sensor system

Mechanical Characterization of Integrally-Attached Timber Plate Structures: Experimental studies and macro modeling technique

Tribological Approach to the Watch Movements

The Pristine survey IX. CFHT ESPaDOnS spectroscopic analysis of 115 bright metal-poor candidate stars

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction

Structure-property maps with Kernel principal covariates regression