Estimating orientation using magnetic and inertial sensors and different sensor fusion approaches: Accuracy assessment in manual and locomotion tasks

E Bergamini, G Ligorio, A Summa, G Vannozzi… - Sensors, 2014 - mdpi.com
Magnetic and inertial measurement units are an emerging technology to obtain 3D
orientation of body segments in human movement analysis. In this respect, sensor fusion is …

Automated accelerometer-based gait event detection during multiple running conditions

LC Benson, CA Clermont, R Watari, T Exley, R Ferber - Sensors, 2019 - mdpi.com
The identification of the initial contact (IC) and toe off (TO) events are crucial components of
running gait analyses. To evaluate running gait in real-world settings, robust gait event …

Gait characteristic analysis and identification based on the iPhone's accelerometer and gyrometer

B Sun, Y Wang, J Banda - Sensors, 2014 - mdpi.com
Gait identification is a valuable approach to identify humans at a distance. In this paper, gait
characteristics are analyzed based on an iPhone's accelerometer and gyrometer, and a new …

New considerations for collecting biomechanical data using wearable sensors: the effect of different running environments

LC Benson, CA Clermont, R Ferber - Frontiers in Bioengineering and …, 2020 - frontiersin.org
Traditionally, running biomechanics analyses have been conducted using 3D motion
capture during treadmill or indoor overground running. However, most runners complete …

Smart shoe-assisted evaluation of using a single trunk/pocket-worn accelerometer to detect gait phases

M Avvenuti, N Carbonaro, MGCA Cimino, G Cola… - Sensors, 2018 - mdpi.com
Wearable sensors may enable the continuous monitoring of gait out of the clinic without
requiring supervised tests and costly equipment. This paper investigates the use of a single …

[HTML][HTML] A new approach for human recognition through wearable sensor signals

Ş Kılıç, Y Kaya, İ Askerbeyli - Arabian Journal for Science and Engineering, 2021 - Springer
Recently, subjects such as human recognition (HR), age estimation and gender recognition
have been among the most investigated human–computer interaction topics, in both the …

[HTML][HTML] Improving the performance of fall detection systems through walk recognition

G Cola, A Vecchio, M Avvenuti - Journal of Ambient Intelligence and …, 2014 - Springer
Social problems associated with falls of elderly citizens are becoming increasingly important
because of the continuous growth of aging population. Automatic fall detection systems …

Gait analysis from a single ear-worn sensor: Reliability and clinical evaluation for orthopaedic patients

D Jarchi, B Lo, C Wong, E Ieong… - … on Neural Systems …, 2015 - ieeexplore.ieee.org
Objective assessment of detailed gait patterns after orthopaedic surgery is important for post-
surgical follow-up and rehabilitation. The purpose of this paper is to assess the use of a …

MARS, a multi-agent system for assessing rowers' coordination via motion-based stigmergy

M Avvenuti, D Cesarini, MGCA Cimino - Sensors, 2013 - mdpi.com
A crucial aspect in rowing is having a synchronized, highly-efficient stroke. This is very
difficult to obtain, due to the many interacting factors that each rower of the crew must …

Non-intrusive patient monitoring for supporting general practitioners in following diseases evolution

D Calvaresi, D Cesarini, M Marinoni… - … , IWBBIO 2015, Granada …, 2015 - Springer
Current patient follow-up practices held by General Practitioners (GPs) are often
unstructured. Due to the high number of patients and time limitations, data collection and …