Activity classification using accelerometers and machine learning for complex construction worker activities

L Sanhudo, D Calvetti, JP Martins, NMM Ramos… - Journal of Building …, 2021 - Elsevier
Automated Construction worker activity classification has the potential to not only benefit the
worker performance in terms of productivity and safety, but also the overall project …

Recognizing driving behavior and road anomaly using smartphone sensors

AH Ali, A Atia, MSM Mostafa - Multigenerational Online Behavior and …, 2019 - igi-global.com
Road traffic accidents are caused 1.25 million deaths per year worldwide. To improve road
safety and reducing road accidents, a recognition method for driving events is introduced in …

Gesture-based control in a smart home environment

F Alemuda, FJ Lin - … Conference on Internet of Things (iThings) …, 2017 - ieeexplore.ieee.org
Gesture is a convenient and natural way to control a smart home. The wearable device
provides an excellent vehicle for getting a user's hand gesture. Recognition models for …

High five: improving gesture recognition by embracing uncertainty

DZ Tootaghaj, A Sampson, T Mytkowicz… - arXiv preprint arXiv …, 2017 - arxiv.org
Sensors on mobile devices---accelerometers, gyroscopes, pressure meters, and GPS---
invite new applications in gesture recognition, gaming, and fitness tracking. However …

Towards gesture based assistive technology for persons experiencing involuntary muscle contractions

C Pocock, C Porter, M Agius - International Conference on Computer …, 2023 - Springer
This research investigates the viability of leveraging Machine Learning (ML) algorithms to
develop gesture recognition systems that may benefit people who experience involuntary …

Exploiting thread-level parallelism in template-based gesture recognition with dynamic time warping

F Grützmacher, JP Wolff, C Haubelt - Proceedings of the 2nd …, 2015 - dl.acm.org
Mobile devices have become ubiquitous, powerful computing devices. While their use
scenarios require new input methods, their typical many-core computing architectures allow …

Dataflow-based modeling and performance analysis for online gesture recognition

F Grützmacher, B Beichler, C Haubelt… - … Analysis, and Control …, 2016 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) are tightly coupled with the environment, and therefore it is
important that interactions with the surroundings like Human-Computer-Interactions are …

[PDF][PDF] Driving events recognition using smartphone sensors

AH Ali, A Atia, M Sami - International Journal of Ambient …, 2017 - researchgate.net
Road accidents are leading cause of death for young people aged between 15 and 29
years, and cost governments approximately 3% of GDP. Driving is a relation between the …

Sensor-based online hand gesture recognition on multi-core dsps

F Grützmacher, JP Wolff… - 2015 IEEE Global …, 2015 - ieeexplore.ieee.org
In this paper we propose a novel approach for parallelized computation of sensor-based
online hand gesture recognition on multi-core DSPs. To this end, we dispatch different …

Co-producing gesture-based at-a case study

C Pocock, C Porter, M Agius - IFIP Conference on Human-Computer …, 2023 - Springer
Typically, people with motor impairments use Assistive Technology (AT) to maintain a
reasonable level of independence in their day-to-day activities. However, when movement …