Exersense: physical exercise recognition and counting algorithm from wearables robust to positioning

S Ishii, A Yokokubo, M Luimula, G Lopez - Sensors, 2020 - mdpi.com
Wearable devices are currently popular for fitness tracking. However, these general usage
devices only can track limited and prespecified exercises. In our previous work, we …

ERICA: enabling real-time mistake detection & corrective feedback for free-weights exercises

M Radhakrishnan, D Rathnayake, OK Han… - Proceedings of the 18th …, 2020 - dl.acm.org
We present ERICA, a digital personal trainer for users performing free weights exercises,
with two key differentiators:(a) First, unlike prior approaches that either require multiple on …

[PDF][PDF] Student's health exercise recognition tool for E-learning education

T Al Shloul, M Javeed, M Gochoo… - Intell. Autom. Soft …, 2023 - researchgate.net
Due to the recently increased requirements of e-learning systems, multiple educational
institutes such as kindergarten have transformed their learning towards virtual education …

ProxiFit: Proximity Magnetic Sensing Using a Single Commodity Mobile toward Holistic Weight Exercise Monitoring

J Kim, Y Nam, J Lee, YJ Suh, I Hwang - … of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Although many works bring exercise monitoring to smartphone and smartwatch, inertial
sensors used in such systems require device to be in motion to detect exercises. We …

Investigation of the relationship between Ironworker's gait stability and different types of load carrying using wearable sensors

J Yoon, B Lee, J Chun, B Son, H Kim - Advanced Engineering Informatics, 2022 - Elsevier
Load carrying can cause changes in gait stability. Maintaining gait stability (body balance)
on a steel frame is an important factor in the prevention of accidents. However, the effects of …

Recognizing human activity of daily living using a flexible wearable for 3D spine pose tracking

M Haghi, A Ershadi, TM Deserno - Sensors, 2023 - mdpi.com
The World Health Organization recognizes physical activity as an influencing domain on
quality of life. Monitoring, evaluating, and supervising it by wearable devices can contribute …

Workout type recognition and repetition counting with CNNs from 3D acceleration sensed on the chest

K Skawinski, F Montraveta Roca, RD Findling… - … : 15th International Work …, 2019 - Springer
Sports and workout activities have become important parts of modern life. Nowadays, many
people track characteristics about their sport activities with their mobile devices, which …

Characterization of a wearable system for automatic supervision of fitness exercises

C Crema, A Depari, A Flammini, E Sisinni… - Measurement, 2019 - Elsevier
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 …

Configurable offline sensor placement identification for a medical device monitoring Parkinson's disease

N Kostikis, G Rigas, S Konitsiotis, DI Fotiadis - Sensors, 2021 - mdpi.com
Sensor placement identification in body sensor networks is an important feature, which
could render such a system more robust, transparent to the user, and easy to wear for long …

Lightweight machine learning-based approach for supervision of fitness workout

A Depari, P Ferrari, A Flammini… - 2019 IEEE Sensors …, 2019 - ieeexplore.ieee.org
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 …