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Direct measurement of human movement by accelerometry
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 …
scientists and researchers attempted to model the human musculoskeletal system. The …
Activity identification using body-mounted sensors—a review of classification techniques
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 …
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
Automated worker action recognition helps to understand the state of workers' actions,
enabling effective management of work performance in terms of productivity, safety, and …
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 …
research and animal production management purposes. However, many existing systems …
Harke: Human activity recognition from kinetic energy harvesting data in wearable devices
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 …
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
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 …
becoming more popular in many fields such as person surveillance, human-robot interaction …
Human behavior cognition using smartphone sensors
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 …
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
Abstract Autism Spectrum Disorders are associated with atypical movements, of which
stereotypical motor movements (SMMs) interfere with learning and social interaction. The …
stereotypical motor movements (SMMs) interfere with learning and social interaction. The …
Activity classification based on inertial and barometric pressure sensors at different anatomical locations
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 …
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
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 …
e-health and e-monitoring into the forefront of research, in which the recognition of motion …