A survey of human gait-based artificial intelligence applications

EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

A survey of magnetic-field-based indoor localization

G Ouyang, K Abed-Meraim - Electronics, 2022 - mdpi.com
Magnetic fields have attracted considerable attention in indoor localization due to their
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …

Robust human locomotion and localization activity recognition over multisensory

D Khan, M Alonazi, M Abdelhaq, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Fall detection and activity recognition using human skeleton features

H Ramirez, SA Velastin, I Meza, E Fabregas… - Ieee …, 2021 - ieeexplore.ieee.org
Human activity recognition has attracted the attention of researchers around the world. This
is an interesting problem that can be addressed in different ways. Many approaches have …

Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field

H Lee, K Yang, N Kim, CR Ahn - Automation in Construction, 2020 - Elsevier
Manual load carrying without sufficient rest may cause work-related musculoskeletal
disorders (WMSDs) and needs to be monitored at construction sites. While previous studies …

A robust step detection and stride length estimation for pedestrian dead reckoning using a smartphone

Y Yao, L Pan, W Fen, X Xu, X Liang… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
As an infrastructure-free positioning and navigation method, pedestrian dead reckoning
(PDR) is still a research hotspot in the field of indoor localization. Step detection (SD) and …

Recent advances in pedestrian inertial navigation based on smartphone: A review

Q Wang, M Fu, J Wang, H Luo, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …

A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers

M Straczkiewicz, EJ Huang, JP Onnela - NPJ Digital Medicine, 2023 - nature.com
The ubiquity of personal digital devices offers unprecedented opportunities to study human
behavior. Current state-of-the-art methods quantify physical activity using “activity counts,” a …

Accurate step count with generalized and personalized deep learning on accelerometer data

L Luu, A Pillai, H Lea, R Buendia, FM Khan, G Dennis - Sensors, 2022 - mdpi.com
Physical activity (PA) is globally recognized as a pillar of general health. Step count, as one
measure of PA, is a well known predictor of long-term morbidity and mortality. Despite its …

Assessment of gait and posture characteristics using a smartphone wearable system for persons with osteoporosis with and without falls

KB Doshi, SH Moon, MD Whitaker, TE Lockhart - Scientific reports, 2023 - nature.com
We used smartphone technology to differentiate the gait characteristics of older adults with
osteoporosis with falls from those without falls. We assessed gait mannerism and obtained …