Weallwalk: An annotated dataset of inertial sensor time series from blind walkers

GH Flores, R Manduchi - ACM Transactions on Accessible Computing …, 2018 - dl.acm.org
We introduce WeAllWalk, a dataset of inertial sensor time series collected from blind and
sighted walkers using a long cane or a guide dog. Ten blind volunteers (seven using a long …

Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket

FA Garcia, JC Pérez-Ibarra, MH Terra… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Gait segmentation may help monitoring the evolution of patients during rehabilitation
treatment through the analysis of properly defined metrics. Many algorithms detect gait …

Smartphone-based inertial odometry for blind walkers

P Ren, F Elyasi, R Manduchi - Sensors, 2021 - mdpi.com
Pedestrian tracking systems implemented in regular smartphones may provide a convenient
mechanism for wayfinding and backtracking for people who are blind. However, virtually all …

A novel accelerometry-based algorithm for the detection of step durations over short episodes of gait in healthy elderly

ME Micó-Amigo, I Kingma, E Ainsworth… - … of neuroengineering and …, 2016 - Springer
Background The assessment of short episodes of gait is clinically relevant and easily
implemented, especially given limited space and time requirements. BFS (body-fixed …

A comprehensive comparison of simple step counting techniques using wrist-and ankle-mounted accelerometer and gyroscope signals

MB Rhudy, JM Mahoney - Journal of Medical Engineering & …, 2018 - Taylor & Francis
The goal of this work is to compare the differences between various step counting algorithms
using both accelerometer and gyroscope measurements from wrist and ankle-mounted …

Human gait phase recognition based on thigh movement computed using IMUs

N Abhayasinghe, I Murray - 2014 IEEE Ninth International …, 2014 - ieeexplore.ieee.org
Human gait analysis is a major topic in pedestrian navigation and geriatric care. Identifying
gait phases is important in using human gait for pedestrian navigation and tracking. Most of …

Step counting with attention-based LSTM

SS Khan, A Abedi - 2022 IEEE Symposium Series on …, 2022 - ieeexplore.ieee.org
Physical activity is recognized as an essential component of overall health. One measure of
physical activity, the step count, is well known as a predictor of long-term morbidity and …

Research on Six-Axis Sensor-Based Step-Counting Algorithm for Grazing Sheep

C Jiang, J Qi, T Hu, X Wang, T Bai, L Guo, R Yan - Sensors, 2023 - mdpi.com
Step counting is an effective method to assess the activity level of grazing sheep. However,
existing step-counting algorithms have limited adaptability to sheep walking patterns and fail …

Human activity recognition using thigh angle derived from single thigh mounted IMU data

N Abhayasinghe, I Murray - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Accurate human activity recognition is a challenging topic of research in many areas. A
common approach to activity recognition is to use accelerometers and/or gyroscopes to …

[HTML][HTML] Predicting physical activity levels from kinematic gait data using machine learning techniques

S Galasso, R Baptista, M Molinara, S Pizzocaro… - … Applications of Artificial …, 2023 - Elsevier
Objective analysis of gait abilities (Gait Analysis, GAn) in clinic is an essential motor
assessment to improve clinical decision-making and provide precision rehabilitation …