A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

A review of pedestrian indoor positioning systems for mass market applications

A Correa, M Barcelo, A Morell, JL Vicario - Sensors, 2017 - mdpi.com
In the last decade, the interest in Indoor Location Based Services (ILBS) has increased
stimulating the development of Indoor Positioning Systems (IPS). In particular, ILBS look for …

An indoor position-estimation algorithm using smartphone IMU sensor data

A Poulose, OS Eyobu, DS Han - Ieee Access, 2019 - ieeexplore.ieee.org
Position-estimation systems for indoor localization play an important role in everyday life.
The global positioning system (GPS) is a popular positioning system, which is mainly …

Motion mode recognition and step detection algorithms for mobile phone users

M Susi, V Renaudin, G Lachapelle - Sensors, 2013 - mdpi.com
Microelectromechanical Systems (MEMS) technology is playing a key role in the design of
the new generation of smartphones. Thanks to their reduced size, reduced power …

I am a smartphone and i can tell my user's walking direction

N Roy, H Wang, R Roy Choudhury - Proceedings of the 12th annual …, 2014 - dl.acm.org
This paper describes WalkCompass, a system that exploits smartphone sensors to estimate
the direction in which a user is walking. We find that several smartphone localization …

Pedestrian dead reckoning based on motion mode recognition using a smartphone

B Wang, X Liu, B Yu, R Jia, X Gan - Sensors, 2018 - mdpi.com
This paper presents a pedestrian dead reckoning (PDR) approach based on motion mode
recognition using a smartphone. The motion mode consists of pedestrian movement state …