IMU-based solution for automatic detection and classification of exercises in the fitness scenario
C Crema, A Depari, A Flammini… - 2017 IEEE Sensors …, 2017 - ieeexplore.ieee.org
Causal relationship between physical activity and prevention of several diseases has been
known for some time. Recently, attempts to quantify dose-response relationship between …
known for some time. Recently, attempts to quantify dose-response relationship between …
Characterization of a wearable system for automatic supervision of fitness exercises
It is widely known that physical activity is an effective tool for preventing several diseases.
However, unsupervised training may lead to poor execution quality, resulting in ineffective …
However, unsupervised training may lead to poor execution quality, resulting in ineffective …
Lightweight machine learning-based approach for supervision of fitness workout
It is widely known that physical activity helps preventing several diseases. However,
unsupervised training often results in low exercise quality, ineffective training, and, in worst …
unsupervised training often results in low exercise quality, ineffective training, and, in worst …
Physical activity classification using body-worn inertial sensors in a multi-sensor setup
Physical inactivity significantly impacts personal health, reduces quality of life, and often
leads to mobility disorders, diabetes, and cardiovascular disease. Monitoring daily life …
leads to mobility disorders, diabetes, and cardiovascular disease. Monitoring daily life …
[HTML][HTML] Stochastic recognition of physical activity and healthcare using tri-axial inertial wearable sensors
Featured Application The proposed technique is an application of physical activity detection,
analyzing three challenging benchmark datasets. It can be applied in sports assistance …
analyzing three challenging benchmark datasets. It can be applied in sports assistance …
IMU-based smart fitness devices for weight training
P Hausberger, A Fernbach… - IECON 2016-42nd …, 2016 - ieeexplore.ieee.org
The automated tracking and analysis of sport activities has become increasingly important in
the recent years. While it is already very common in endurance sports, in weight training the …
the recent years. While it is already very common in endurance sports, in weight training the …
[HTML][HTML] Feature-free activity classification of inertial sensor data with machine vision techniques: method, development, and evaluation
JJD Veiga, M O'Reilly, D Whelan… - JMIR mHealth and …, 2017 - mhealth.jmir.org
Background: Inertial sensors are one of the most commonly used sources of data for human
activity recognition (HAR) and exercise detection (ED) tasks. The time series produced by …
activity recognition (HAR) and exercise detection (ED) tasks. The time series produced by …
Exploiting IMU sensors for IoT enabled health monitoring
Inertial Measurement Units (IMUs) embedded in commercial mobile devices are a good
choice for continuous monitoring in healthcare domain due to their attractive form factor and …
choice for continuous monitoring in healthcare domain due to their attractive form factor and …
Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study
A Bevilacqua, B Huang, R Argent… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
Inertial measurement units have the ability to accurately record the acceleration and angular
velocity of human limb segments during discrete joint movements. These movements are …
velocity of human limb segments during discrete joint movements. These movements are …
Physical activity classification meets daily life: Review on existing methodologies and open challenges
Recent advances in the MEMS devices make it happen to wirelessly integrate miniature
motion capturing devices with Smartphones and to use them in personal health care and …
motion capturing devices with Smartphones and to use them in personal health care and …