Direct measurement of human movement by accelerometry

A Godfrey, R Conway, D Meagher… - Medical engineering & …, 2008 - Elsevier
Human movement has been the subject of investigation since the fifth century when early
scientists and researchers attempted to model the human musculoskeletal system. The …

Activity identification using body-mounted sensors—a review of classification techniques

SJ Preece, JY Goulermas, LPJ Kenney… - Physiological …, 2009 - iopscience.iop.org
With the advent of miniaturized sensing technology, which can be body-worn, it is now
possible to collect and store data on different aspects of human movement under the …

Automated action recognition using an accelerometer-embedded wristband-type activity tracker

JH Ryu, JO Seo, H Jebelli, SH Lee - Journal of construction …, 2019 - ascelibrary.org
Automated worker action recognition helps to understand the state of workers' actions,
enabling effective management of work performance in terms of productivity, safety, and …

Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines

P Martiskainen, M Järvinen, JP Skön… - Applied animal …, 2009 - Elsevier
Automated animal behaviour monitoring systems have become increasingly appealing for
research and animal production management purposes. However, many existing systems …

Harke: Human activity recognition from kinetic energy harvesting data in wearable devices

S Khalifa, G Lan, M Hassan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Kinetic energy harvesting (KEH) may help combat battery issues in wearable devices. While
the primary objective of KEH is to generate energy from human activities, the harvested …

Human action recognition using deep learning methods on limited sensory data

N Tufek, M Yalcin, M Altintas, F Kalaoglu… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
In recent years, due to the widespread usage of various sensors action recognition is
becoming more popular in many fields such as person surveillance, human-robot interaction …

Human behavior cognition using smartphone sensors

L Pei, R Guinness, R Chen, J Liu, H Kuusniemi… - Sensors, 2013 - mdpi.com
This research focuses on sensing context, modeling human behavior and develo** a new
architecture for a cognitive phone platform. We combine the latest positioning technologies …

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

NM Rad, SM Kia, C Zarbo, T van Laarhoven, G Jurman… - Signal Processing, 2018 - Elsevier
Abstract Autism Spectrum Disorders are associated with atypical movements, of which
stereotypical motor movements (SMMs) interfere with learning and social interaction. The …

Activity classification based on inertial and barometric pressure sensors at different anatomical locations

A Moncada-Torres, K Leuenberger… - Physiological …, 2014 - iopscience.iop.org
Miniature, wearable sensor modules are a promising technology to monitor activities of daily
living (ADL) over extended periods of time. To assure both user compliance and meaningful …

Daily living activity recognition based on statistical feature quality group selection

O Banos, M Damas, H Pomares, A Prieto… - Expert Systems with …, 2012 - Elsevier
The benefits arising from proactive conduct and subject-specialized healthcare have driven
e-health and e-monitoring into the forefront of research, in which the recognition of motion …