- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2199-4676
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Trends in human activity recognition using smartphones ; volume:7 ; number:3 ; day:3 ; month:7 ; year:2021 ; pages:189-213 ; date:9.2021
Journal of reliable intelligent environments ; 7, Heft 3 (3.7.2021), 189-213, 9.2021
- Creator
-
Ferrari, Anna
Micucci, Daniela
Mobilio, Marco
Napoletano, Paolo
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40860-021-00147-0
- URN
-
urn:nbn:de:101:1-2021103121221971421764
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ferrari, Anna
- Micucci, Daniela
- Mobilio, Marco
- Napoletano, Paolo
- SpringerLink (Online service)
Other Objects (12)
HUMAN ACTIVITY RECOGNITION BASED ON SMARTPHONE SENSOR DATA USING CNN
Fitness Activity Recognition on Smartphones Using Doppler Measurements
Performing Realistic Workout Activity Recognition on Consumer Smartphones
A benchmark for domain adaptation and generalization in smartphone-based human activity recognition
Towards Efficient Human Activity Recognition
From motion to human activity recognition
Human activity recognition with wearable sensors
Generating Representations for Human Activity Recognition
Human worker activity recognition in industrial environments
Keypoint Changes for Fast Human Activity Recognition
Vision-based human activity recognition: a survey
Human worker activity recognition in industrial environments
HUMAN ACTIVITY RECOGNITION BASED ON SMARTPHONE SENSOR DATA USING CNN
Fitness Activity Recognition on Smartphones Using Doppler Measurements
Performing Realistic Workout Activity Recognition on Consumer Smartphones
A benchmark for domain adaptation and generalization in smartphone-based human activity recognition
Towards Efficient Human Activity Recognition
From motion to human activity recognition
Human activity recognition with wearable sensors
Generating Representations for Human Activity Recognition
Human worker activity recognition in industrial environments
Keypoint Changes for Fast Human Activity Recognition
Vision-based human activity recognition: a survey
Human worker activity recognition in industrial environments
HUMAN ACTIVITY RECOGNITION BASED ON SMARTPHONE SENSOR DATA USING CNN
Fitness Activity Recognition on Smartphones Using Doppler Measurements
Performing Realistic Workout Activity Recognition on Consumer Smartphones
A benchmark for domain adaptation and generalization in smartphone-based human activity recognition
Towards Efficient Human Activity Recognition
From motion to human activity recognition
Human activity recognition with wearable sensors
Generating Representations for Human Activity Recognition
Human worker activity recognition in industrial environments
Keypoint Changes for Fast Human Activity Recognition
Vision-based human activity recognition: a survey