On Representations for Joint Moments Using a Joint Coordinate System

Gait Recognition Using Joint Moments, Joint Angles and Segment Angles

INTRODUCTION Recognition of gait patterns has been studied intensively during the last decades. Different gait strategies have been elucidated by applying different waveform analysis techniques to biomechanical gait data [1,2] and it has been shown that individuals can be identified using joint angles in the sagittal plane [3]. However, little is known about additional biomechanical variables f...

Coordinated and Joint Ordering Policies for Two Commodity Inventory System

Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations

We present a framework for learning disentangled and interpretable jointly continuous and discrete representations in an unsupervised manner. By augmenting the continuous latent distribution of variational autoencoders with a relaxed discrete distribution and controlling the amount of information encoded in each latent unit, we show how continuous and categorical factors of variation can be dis...

Joint word2vec Networks for Bilingual Semantic Representations

We extend the word2vec framework to capture meaning across languages. The input consists of a source text and a word-aligned parallel text in a second language. The joint word2vec tool then represents words in both languages within a common “semantic” vector space. The result can be used to enrich lexicons of under-resourced languages, to identify ambiguities, and to perform clustering and clas...

Joint and segment coordinate systems revisited.

The joint coordinates systems (JCS) of the hip, knee, and ankle have been extensively described [1, 2, 3]. The principle is to embed a flexion-extension (FE) axis in the proximal segment and an internalexternal rotation (IER) (or adduction-abduction (AA)) axis in the distal segment, following anatomical or functional directions. For the joint displacements, the origins of the proximal and dista...