A survey of selected indoor positioning methods for smartphones

P Davidson, R Piché - IEEE Communications surveys & …, 2016 - ieeexplore.ieee.org
This paper provides an overview of the most significant existing methods for indoor
positioning on a contemporary smartphone. The approaches include Wi-Fi and Bluetooth …

Tracking the evolution of smartphone sensing for monitoring human movement

MB Del Rosario, SJ Redmond, NH Lovell - Sensors, 2015 - mdpi.com
Advances in mobile technology have led to the emergence of the “smartphone”, a new class
of device with more advanced connectivity features that have quickly made it a constant …

Step-detection and adaptive step-length estimation for pedestrian dead-reckoning at various walking speeds using a smartphone

NH Ho, PH Truong, GM Jeong - Sensors, 2016 - mdpi.com
We propose a walking distance estimation method based on an adaptive step-length
estimator at various walking speeds using a smartphone. First, we apply a fast Fourier …

UPTIME: Ubiquitous pedestrian tracking using mobile phones

M Alzantot, M Youssef - 2012 IEEE Wireless Communications …, 2012 - ieeexplore.ieee.org
The mission of tracking a pedestrian is valuable for many applications including walking
distance estimation for the purpose of pervasive healthcare, museum and shop** mall …

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 …

Smartphone-based pedestrian dead reckoning as an indoor positioning system

AR Pratama, R Hidayat - 2012 International Conference on …, 2012 - ieeexplore.ieee.org
Nowadays, personal positioning systems are more necessary to build many location-based
services. Pedestrian Dead Reckoning (PDR), which is a pedestrian positioning technique …

Step length estimation methods based on inertial sensors: A review

LE Díez, A Bahillo, J Otegui, T Otim - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Inertial sensors are included in most of the current smart devices and many researchers
have identified their ability to be used for analyzing different parameters of human behavior …

BreathPro: Monitoring breathing mode during running with earables

C Hu, T Kandappu, Y Liu, C Mascolo… - Proceedings of the ACM on …, 2024 - dl.acm.org
Running is a popular and accessible form of aerobic exercise, significantly benefiting our
health and wellness. By monitoring a range of running parameters with wearable devices …

Comparison and evaluation of acceleration based step length estimators for handheld devices

J Jahn, U Batzer, J Seitz… - 2010 International …, 2010 - ieeexplore.ieee.org
A comparison between different step length estimation algorithms for pedestrian dead
reckoning is presented. This work covers theoretic evaluation of the estimators' performance …

A voice-driven IMU-enabled BIM-based multi-user system for indoor navigation in fire emergencies

MO Wong, H Zhou, H Ying, S Lee - Automation in construction, 2022 - Elsevier
Real-time location information between participants is critical but scarcely available during
fire emergencies, making response operations solitary and inefficient. To address the issue …