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 …
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 …
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …
Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
Fall detection and activity recognition using human skeleton features
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 …
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
Manual load carrying without sufficient rest may cause work-related musculoskeletal
disorders (WMSDs) and needs to be monitored at construction sites. While previous studies …
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 …
(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 …
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
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 …
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
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 …
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 …
osteoporosis with falls from those without falls. We assessed gait mannerism and obtained …