Milift: Efficient smartwatch-based workout tracking using automatic segmentation

C Shen, BJ Ho, M Srivastava - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
The use of smartphones and wearables as sensing devices has created innumerable
context inference apps including a class of workout tracking apps. Workout data generated …

A framework and call to action for the future development of EMG-based input in HCI

E Eddy, EJ Scheme, S Bateman - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Electromyography (EMG) has been explored as an HCI input modality following a long
history of success for prosthesis control. While EMG has the potential to address a range of …

Bodylights: Open-ended augmented feedback to support training towards a correct exercise execution

L Turmo Vidal, H Zhu, A Riego-Delgado - … of the 2020 CHI Conference on …, 2020 - dl.acm.org
Technologies targeting a correct execution of physical training exercises typically use pre-
determined models for what they consider correct, automatizing instruction and feedback …

Data quality and reliability assessment of wearable EMG and IMU sensor for construction activity recognition

SS Bangaru, C Wang, F Aghazadeh - Sensors, 2020 - mdpi.com
The workforce shortage is one of the significant problems in the construction industry. To
overcome the challenges due to workforce shortage, various researchers have proposed …

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 …

W8-Scope: Fine-grained, practical monitoring of weight stack-based exercises

M Radhakrishnan, A Misra, RK Balan - Pervasive and Mobile Computing, 2021 - Elsevier
Fine-grained, unobtrusive monitoring of gym exercises can help users track their own
exercise routines and also provide corrective feedback. We propose W8-Scope, a system …

Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors

UA Khan, IA Khan, A Din, W Jadoon… - Scientific …, 2020 - Wiley Online Library
Smartphones with gym exercises predictors can act as trainers for the gym‐goers. However,
various available solutions do not have the complete set of most practiced exercises …

Wearable IoT System for Hand Function Assessment Based on EMG Signals

Z Zhi, Q Wu - Electronics, 2024 - mdpi.com
Evaluating hand function presents a significant challenge in the realm of remote
rehabilitation, particularly when highlighting the need for comfort and practicality in wearable …

Wearable technologies in biomedical and biometric applications

S Said, SA Kork, A Nait-Ali - Biometrics under Biomedical Considerations, 2019 - Springer
The purpose of this chapter is to discuss the challenging and emerging technology namely
“Wearable technology”. Based on bio-signal acquisition numerous applications in …

[BOOK][B] Fatigue Monitoring Through Wearable Sensors for Construction Workers

SS Bangaru - 2021 - search.proquest.com
About 40% of the US construction workforce experiences high-level fatigue, which leads to
poor judgment, increased risk of injuries, a decrease in productivity, and a lower quality of …