B
Biying Fu
Researcher at Fraunhofer Society
Publications - 31
Citations - 300
Biying Fu is an academic researcher from Fraunhofer Society. The author has contributed to research in topics: Computer science & Activity recognition. The author has an hindex of 7, co-authored 27 publications receiving 178 citations. Previous affiliations of Biying Fu include Technische Universität Darmstadt & Fraunhofer Institute for Computer Graphics Research.
Papers
More filters
Journal ArticleDOI
Sensing Technology for Human Activity Recognition: A Comprehensive Survey
TL;DR: By extending the sensor categorization proposed by White, this work surveys the most prominent research works that utilize different sensing technologies for human activity recognition tasks and identifies the limitations with respect to the hardware and software characteristics of each sensor category.
Proceedings ArticleDOI
Platypus: Indoor Localization and Identification through Sensing of Electric Potential Changes in Human Bodies
Tobias Grosse-Puppendahl,Xavier Dellangnol,Christian Hatzfeld,Biying Fu,Mario Kupnik,Arjan Kuijper,Matthias R. Hastall,James Scott,Marco Gruteser +8 more
TL;DR: It is shown how the reconstructed body electric potential differs from person to person and thereby how to perform identification, and it is demonstrated that identification features are valid over multiple days, though change with footwear.
Journal ArticleDOI
Performing indoor localization with electric potential sensing
Biying Fu,Florian Kirchbuchner,Julian von Wilmsdorff,Tobias Grosse-Puppendahl,Andreas Braun,Arjan Kuijper +5 more
TL;DR: This work presents a novel indoor positioning system using an uncommon form of passive electric field sensing (EPS), which detects the electric potential variation caused by body movement and achieves a high position accuracy and an excellent spatial resolution.
Proceedings ArticleDOI
Opportunities for activity recognition using ultrasound doppler sensing on unmodified mobile phones
TL;DR: A custom implementation of ultrasound sensing using the smartphone's native speaker and microphone provides additional means for perceiving the environment and humans and outlines possible usage scenarios for this new and promising sensing modality.
Journal ArticleDOI
Fitness Activity Recognition on Smartphones Using Doppler Measurements
TL;DR: This work investigated the use of a speaker and a microphone that are integrated into a smartphone to track exercises performed close to it and combined active sonar and Doppler signal analysis in the ultrasound spectrum that is not perceivable by humans.