Desenvolvimento De Prototipo Para Identificacao De Golpes De Membros Inferiores Do Muay Thai
2017 – A. Silva, J. Almeida – Universidade Tecnologica Federal Do Parana
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We are your sensor provider. Innovate, prototype or gather scientific evidence with our MetaSensors.
Since 2013 we have helped companies, startups, universities, and innovators with our sensor technology.
See what others have written about us:
Repmonk uses deep learning (AI) and Mbientlab sensors to seamlessly track motion and recognize activities during your workout.
Watch the latest demo from Tarun and his team featuring MetaMotion based activity and motion analytics.
SpeakLiz is a powerful AI communication tool, it has been designed as a complete solution for the worldwide deaf community.
The bracelet recognizes sign language and automatically translates it out loud using your smartphone.
A demonstration of the MetaMotion R+ wireless wearable sensor by MbientLab controlling an audio visual interactive application created by Pulse Lab.
Take a look at their many projects.
Accessible, Low Cost Monitoring and Classification of Obstructive Sleep Apnea – Using a Smartphone and Wearable Sensors
Watch Harvey’s video comparing wearable options.
Meet some of our many partners along the way:
MbientLab has been cited in thousands of publications, read some of our favorites:
2017 – A. Silva, J. Almeida – Universidade Tecnologica Federal Do Parana
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2017 – L. Steffan, L. Kaul, T. Asfour – Karlsruhe Institute of Technology
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2017 – C Duhaylungsod, C Magbitang, J Mercado, G Osido, S Pecho, A dela Cruz – University of Santo Tomas
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2016 – C.r Samiullah, S. Devlin, U. Suess – Ohio State University
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2016 – K. Sailer, A. Montanari, S. Nawaz, C. Mascolo – University of Cambridge | University College London
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2016 – Nuth Otanasap – Southeast Asia University, Bangkok
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2016 – M. Smith – Rhodes College – Georgia Institute of Technology
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2016 – G. Flores, R. Manduchi – UC Santa Cruz
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2015 – C. N. Kayembe – Handong Global University
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2015 – B. Ballester – Universitat Pompeu Fabra | University College London
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2014 – B. Kooiker – Radboud University
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Catch a snapshot of some of the projects that use our sensors:
This Smart T-Shirt collects biometric sensor data.
Palarum prototyped a smart sock using MetaMotion.
Improves senior health through machine learning.
Hands free interaction solution for railway workers.
This App provides motivational feedback to babies.
Tool to help ballet dancers improve their turns.
Research by Nobel Laureate Robert H. Grubbs.
Amazing Javascript dev camps with MetaWear.
Cloud based Al for trend analysis using Sensors.