MIDL 2021

International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

A general framework for sensor-based human activity recognition.

TitleA general framework for sensor-based human activity recognition.
Publication TypeJournal Article
Year of Publication2018
AuthorsKöping L., Shirahama K., Grzegorzek M.
JournalComputers in biology and medicine
Date Published2018 04 01
Publication Languageeng

Today's wearable devices like smartphones, smartwatches and intelligent glasses collect a large amount of data from their built-in sensors like accelerometers and gyroscopes. These data can be used to identify a person's current activity and in turn can be utilised for applications in the field of personal fitness assistants or elderly care. However, developing such systems is subject to certain restrictions: (i) since more and more new sensors will be available in the future, activity recognition systems should be able to integrate these new sensors with a small amount of manual effort and (ii) such systems should avoid high acquisition costs for computational power. We propose a general framework that achieves an effective data integration based on the following two characteristics: Firstly, a smartphone is used to gather and temporally store data from different sensors and transfer these data to a central server. Thus, various sensors can be integrated into the system as long as they have programming interfaces to communicate with the smartphone. The second characteristic is a codebook-based feature learning approach that can encode data from each sensor into an effective feature vector only by tuning a few intuitive parameters. In the experiments, the framework is realised as a real-time activity recognition system that integrates eight sensors from a smartphone, smartwatch and smartglasses, and its effectiveness is validated from different perspectives such as accuracies, sensor combinations and sampling rates.

PubMed Link


Alternate JournalComput. Biol. Med.
Created at October 15, 2018 - 10:11am.


Program of Study

Study Medical Informatics
at the University of Lübeck

read more ...


Susanne Petersen

Tel+49 451 3101 5601
Fax+49 451 3101 5604

Ratzeburger Allee 160
23538 Lübeck