A literature review of next‐generation smart sensing technology in structural health monitoring

S Sony, S Laventure, A Sadhu - Structural Control and Health …, 2019 - Wiley Online Library
Advent of computationally efficient smartphones, inexpensive high‐resolution cameras,
drones, and robotic sensors has brought a new era of next‐generation intelligent monitoring …

Deep learning methods for fingerprint-based indoor positioning: A review

F Alhomayani, MH Mahoor - Journal of Location Based Services, 2020 - Taylor & Francis
Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …

Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset

L Wang, H Gjoreski, M Ciliberto, S Mekki… - IEEE …, 2019 - ieeexplore.ieee.org
Transportation and locomotion mode recognition from multimodal smartphone sensors is
useful for providing just-in-time context-aware assistance. However, the field is currently …

Activity recognition using smartphone sensors

A Anjum, MU Ilyas - 2013 ieee 10th consumer communications …, 2013 - ieeexplore.ieee.org
Motion sensor embedded smartphones have provided a new platform for activity inference.
These sensors, initially used for cell phone feature enhancement, are now being used for a …

Feature selection for wearable smartphone-based human activity recognition with able bodied, elderly, and stroke patients

NA Capela, ED Lemaire, N Baddour - PloS one, 2015 - journals.plos.org
Human activity recognition (HAR), using wearable sensors, is a growing area with the
potential to provide valuable information on patient mobility to rehabilitation specialists …

Enabling IoT for in-home rehabilitation: Accelerometer signals classification methods for activity and movement recognition

I Bisio, A Delfino, F Lavagetto… - IEEE Internet of Things …, 2016 - ieeexplore.ieee.org
Rehabilitation and elderly monitoring for active aging can benefit from Internet of Things
(IoT) capabilities in particular for in-home treatments. In this paper, we consider two …

Context-aware active authentication using smartphone accelerometer measurements

A Primo, VV Phoha, R Kumar… - Proceedings of the IEEE …, 2014 - cv-foundation.org
While body movement patterns recorded by a smartphone accelerometer are now well
understood to be discriminative enough to separate users, little work has been done to …

[HTML][HTML] Validation of physical activity tracking via android smartphones compared to ActiGraph accelerometer: laboratory-based and free-living validation studies

EB Hekler, MP Buman, L Grieco… - JMIR mHealth and …, 2015 - mhealth.jmir.org
Background: There is increasing interest in using smartphones as stand-alone physical
activity monitors via their built-in accelerometers, but there is presently limited data on the …

Toward psychoinformatics: Computer science meets psychology

C Montag, É Duke, A Markowetz - … and mathematical methods …, 2016 - Wiley Online Library
The present paper provides insight into an emerging research discipline called
Psychoinformatics. In the context of Psychoinformatics, we emphasize the cooperation …

Supporting patient monitoring using activity recognition with a smartphone

SL Lau, I König, K David, B Parandian… - 2010 7th …, 2010 - ieeexplore.ieee.org
In our work we envision the use of context awareness to complement and improve
telemedicine services. One concrete example is the recognition of physical activity (PA) for …