Phase extraction from repetitive movements is one crucial part in various applications such as interactive robotics, physical rehabilitation, ...
Unsupervised phase learning and extraction from repetitive movements. Jatesiktat, Prayook; Anopas, Dollaporn; Ang, Wei Tech. 2018. Jatesiktat, P., Anopas, D ...
A novel unsupervised-learning-based phase extraction technique that uses a neural network architecture and a cost function to learn the concept of phase ...
A neural network architecture and a cost function are designed to learn the concept of phase from records of a repetitive movement without any given phase label ...
A neural network architecture and a cost function are designed to learn the concept of phase from records of a repetitive movement without any given phase label ...
In this work, we propose a learning-based phase extraction method for multi-dimensional signals, consuming only unlabeled signal examples for training.
Dive into the research topics of 'Unsupervised Phase Learning and Extraction from Repetitive Movements'. Together they form a unique fingerprint. Sort by ...
In this work, we propose a learning-based phase extraction method for multi-dimensional signals, consuming only unlabeled signal examples for training.
Missing: Repetitive Movements.
Jul 3, 2022 · This study proposes a data-driven technique to model a repetitive exercise using unsupervised phase learning on an artificial neural network and statistical ...
Automatic phase extraction is commonly done by digital markers or handcrafted feature detection that are designed specifically for one particular type of ...