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Section: Events
Lecture Date: December 14, 2020 (Online lecture)
Chapter: Singapore
Chapter Chair: Lokesh Bheema Thiagarajan
Topic: Privacy-Preserving Localization and Recognition of Human Activities
Section: Events
June 28-30, 2021
Location: Lille, France
Section: Events
June 29 - July 2, 2021
Location: Bristol, UK
Section: Community & Involvement
IEEE Signal Processing Cup 2014
Section: Community & Involvement
IEEE Signal Processing Cup 2015
The IEEE SP Cup is a competition that provides undergraduate students with the opportunity to form teams and work together to solve a challenging and interesting real-world problem using signal-processing techniques and methods. Three teams will be selected to present their work, and prizes will be awarded at ICASSP 2015. The competition title is:
Heart Rate Monitoring During Physical Exercise Using Wrist-Type Photoplethysmographic (PPG) Signals
Section: Community & Involvement
IEEE Signal Processing Cup 2016
Section: Community & Involvement
IEEE Signal Processing Cup 2017
Real-Time Beat Tracking Challenge
The IEEE Signal Processing Society announces the fourth edition of the Signal Processing Cup: a real-time beat tracking challenge.
Section: Community & Involvement
IEEE Signal Processing Cup 2018
Forensic Camera Model Identification Challenge
The IEEE Signal Processing Society announces the fifth edition of the Signal Processing Cup: forensic camera model identification challenge.
Section: Community & Involvement
IEEE Signal Processing Cup 2019
Search & Rescue with Drone-Embedded Sound Source Localization
The IEEE Signal Processing Society is proud to announce the sixth edition of the Signal Processing Cup: an exciting audio-based drone-embedded search and rescue challenge.
Section: Community & Involvement
IEEE Signal Processing Cup 2020
Unsupervised abnormality detection by using intelligent and heterogeneous autonomous systems
The IEEE Signal Processing Society is proud to announce the seven edition of the Signal Processing Cup: an exciting unsupervised abnormality detection challenge where ground and aerial autonomous systems interplays with the environment to discover abnormalities automatically.
