This issue of IEEE Signal Processing Magazine is mainly focused on neurorehabilitation and assistive technologies. For a few decades, microelectronics, signal processing, robotics, and computer science have been the driver of many scientific and technological advances, with applications in many domains, including health.
Prostheses provide a means for individuals with amputations to regain some of the lost functions of their amputated limb. Human-machine interfaces (HMIs), used for controlling prosthetic devices, play a critical role in users' experiences with prostheses. This review article provides an overview of the HMIs commonly adopted for upper-limb prosthesis control and inspects collected signals and their processing methods.
This article reviews technologies and algorithms for decoding volitional movement intent using bioelectrical signals recorded from the human body. Such signals include electromyograms, electroencephalograms, electrocorticograms, intracortical recordings, and electroneurograms. After reviewing signal features commonly used for interpreting movement intent, this article describes traditional movement decoders based on Kalman filters (KFs) and machine learning (ML).
The Signal Processing (SP) research group at the Universität Hamburg in Germany is hiring a Postdoc (E13/E14) "Machine Learning for Speech and Audio Processing".
Lecture Date: August 10, 2021 -- Virtual Lecture
Chapter: Hyderabad Chapter
Chapter Chair: Abhinav Kumar
Topic: Random Walk on a Tree for Stochastic Optimization and Learning
July, 2021-Postpone of the Workshop IEEE CAMSAP2021 and Approval of the Workshop IEEE SAM2022
by Xiangrong Wang and Wei Liu
Due to uncertainty generated by the pandemic, the Ninth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2021) has been postponed to 2023.
As approved by the SAM TC, the Twelfth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM2022) will be held at Trondheim, Norway, on 20-23 June 2022 (the dates are subject to change).
Joint postdoc position between the Broad Institute and the Weizmann Institute at the intersection of signal processing, machine learning, and healthcare. The work will be performed with the groups of Prof. Yonina Eldar and Dr. Anthony Philippakis at the Biomedical Engineering Center at Weizmann and the Eric and Wendy Schmidt Center at the Broad. The candidate is expected to work with both teams in collaborative and supportive environments, with the location flexible between the two centers.
The AI for Sound project (https://ai4s.surrey.ac.uk/) in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is offering the following PhD studentships in AI for Sound, available from 1 October 2021: (1) Automatic sound labelling for broadcast audio (2) Information theoretic learning for sound analysis (UK applicants) Application Deadline: 1 August 2021 CVSSP also has a number of ongoing PhD studentship opportunities for outstanding PhD candidates in all aspects of audio-visual signal processing, computer vision and machine learning, including for researc