Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Recent developments in biosensors for healthcare and biomedical applications: A review
The development of biosensors is gaining tremendous attention in the fields of biomedicine
and healthcare due to their wide use in clinical care, medicine and food processing …
and healthcare due to their wide use in clinical care, medicine and food processing …
[HTML][HTML] Physical human activity recognition using wearable sensors
This paper presents a review of different classification techniques used to recognize human
activities from wearable inertial sensor data. Three inertial sensor units were used in this …
activities from wearable inertial sensor data. Three inertial sensor units were used in this …
Smart wearable body sensors for patient self-assessment and monitoring
G Appelboom, E Camacho, ME Abraham… - Archives of public …, 2014 - Springer
Background Innovations in mobile and electronic healthcare are revolutionizing the
involvement of both doctors and patients in the modern healthcare system by extending the …
involvement of both doctors and patients in the modern healthcare system by extending the …
A review of accelerometry-based wearable motion detectors for physical activity monitoring
CC Yang, YL Hsu - Sensors, 2010 - mdpi.com
Characteristics of physical activity are indicative of one's mobility level, latent chronic
diseases and aging process. Accelerometers have been widely accepted as useful and …
diseases and aging process. Accelerometers have been widely accepted as useful and …
Automatic real-time gait event detection in children using deep neural networks
Annotation of foot-contact and foot-off events is the initial step in post-processing for most
quantitative gait analysis workflows. If clean force plate strikes are present, the events can …
quantitative gait analysis workflows. If clean force plate strikes are present, the events can …
The promise of wearable activity sensors to define patient recovery
G Appelboom, AH Yang, BR Christophe… - Journal of Clinical …, 2014 - Elsevier
The recent emergence of mobile health–the use of mobile telecommunication and wireless
devices to improve health outcomes, services, and research–has inspired a patient-centric …
devices to improve health outcomes, services, and research–has inspired a patient-centric …
Feature selection for accelerometer-based posture analysis in Parkinson's disease
L Palmerini, L Rocchi, S Mellone… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
Posture analysis in quiet standing is a key component of the clinical evaluation of
Parkinson's disease (PD), postural instability being one of PD's major symptoms. The aim of …
Parkinson's disease (PD), postural instability being one of PD's major symptoms. The aim of …
Development of a scale to assess avoidance behavior due to a fear of falling: the Fear of Falling Avoidance Behavior Questionnaire
MR Landers, C Durand, DS Powell, LE Dibble… - Physical …, 2011 - academic.oup.com
Background A history of falls or imbalance may lead to a fear of falling, which may lead to
self-imposed avoidance of activity; this avoidance may stimulate a vicious cycle of …
self-imposed avoidance of activity; this avoidance may stimulate a vicious cycle of …
Consumer physical activity tracking device ownership and use among a population-based sample of adults
Consumer physical activity tracking devices (PATs) have gained popularity to support
individuals to be more active and less sedentary throughout the day. Wearable PATs …
individuals to be more active and less sedentary throughout the day. Wearable PATs …