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 …

Imu2clip: Multimodal contrastive learning for imu motion sensors from egocentric videos and text

S Moon, A Madotto, Z Lin, A Dirafzoon, A Saraf… - arXiv preprint arXiv …, 2022 - arxiv.org
We present IMU2CLIP, a novel pre-training approach to align Inertial Measurement Unit
(IMU) motion sensor recordings with video and text, by projecting them into the joint …

A survey of datasets, applications, and models for IMU sensor signals

A Saraf, S Moon, A Madotto - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Inertial Measurement Units (IMUs) are small, low-cost sensors that can measure
accelerations and angular velocities, making them valuable tools for a variety of …

Algorithms for walking speed estimation using a lower-back-worn inertial sensor: A cross-validation on speed ranges

A Soltani, K Aminian, C Mazza… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Walking/gait speed is a key measure for daily mobility characterization. To date, various
studies have attempted to design algorithms to estimate walking speed using an inertial …

Walking-speed estimation using a single inertial measurement unit for the older adults

S Byun, HJ Lee, JW Han, JS Kim, E Choi, KW Kim - PloS one, 2019 - journals.plos.org
Background Although walking speed is associated with important clinical outcomes and
designated as the sixth vital sign of the elderly, few walking-speed estimation algorithms …

An improved PDR/UWB integrated system for indoor navigation applications

S Guo, Y Zhang, X Gui, L Han - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
The challenges of the inertial navigation system based pedestrian dead reckoning (PDR)
are mainly stochastic errors and serious accumulated errors caused by sensor variance …

EarGait: estimation of temporal gait parameters from hearing aid integrated inertial sensors

AK Seifer, E Dorschky, A Küderle, H Moradi… - Sensors, 2023 - mdpi.com
Wearable sensors are able to monitor physical health in a home environment and detect
changes in gait patterns over time. To ensure long-term user engagement, wearable …

IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning

S Moon, A Madotto, Z Lin, A Saraf… - Findings of the …, 2023 - aclanthology.org
We present IMU2CLIP, a novel pre-training approach to align Inertial Measurement Unit
(IMU) motion sensor recordings with text and video, by projecting them into the joint …

A method to estimate horse speed per stride from one IMU with a machine learning method

A Schmutz, L Chèze, J Jacques, P Martin - Sensors, 2020 - mdpi.com
With the emergence of numerical sensors in sports, there is an increasing need for tools and
methods to compute objective motion parameters with great accuracy. In particular, inertial …

Practical Step Length Estimation Combining FM Radio Signal and Accelerometer

L Cong, J Tian, H Qin - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Among various indoor positioning methods, pedestrian dead reckoning (PDR) has become
one of the mainstream methods for requiring neither expensive infrastructure nor laborious …