Armands Ancāns is a researcher of Electronics and Computer Science (EDI). Armands has been working in EDI since year 2015. Graduated Technical University (Riga, Latvia) Electronic engineering master’s study program in year 2016. Currently is studying in Riga Technical university electronics doctors degree program. The main research interest is wearable sensors for body area networks with applications in human-computer interaction, fitness, medicine and sports. Experience in wearable bio-electric sensor and inertial sensor node development including electrical design and testing, embedded programming, electronic component embodiment into clothing and wearable accessories, digital signal processing and analysis.
Recent projects
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3D shape sensing fabric (3D FABRIC) #ESIF
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Frictionless Energy Efficient Convergent Wearables For Healthcare and Lifestyle Applications (CONVERGENCE) #Chist-era / Flag-era
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Development of technologies for cyber physical systems with applications in medicine and smart transport (KiFiS) #SRP (VPP)
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Arrowhead-Tools for Engineering of Digitalisation Solutions (Arrowhead-Tools) #H2020
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Sensorial Clothes for Accurate Physical Exercise and Instant Feedback (SCAPE-IF) #ESIF
- Technology for high-precision time-amplitude analysis of event flow (TIME-AMP) #ESIF
Recent publications
- A. Ancans, M. Greitans, R. Cacurs, B. Banga, A. Rozentals "Wearable Sensor Clothing for Body Movement Measurement during Physical Activities in Healthcare", Sensors 2021, 21(6), 2068. DOI: https://doi.org/10.3390/s21062068
- Elise Saoutieff, Tiziana Polichetti, Laurent Jouanet, Adrien Faucon, Audrey Vidal, Alexandre Pereira, Sébastien Boisseau, Thomas Ernst, Maria Lucia Miglietta, Brigida Alfano, Ettore Massera, Saverio De Vito, Do Hanh Ngan Bui, Philippe Benech, Tan-Phu Vuong, Carmen Moldovan, Yann Danlee, Thomas Walewyns, Sylvain Petre, Denis Flandre, Armands Ancans, Modris Greitans, Adrian M. Ionescu. "A Wearable Low-Power Sensing Platform for Environmental and Health Monitoring: The Convergence Project", Sensors 2021. DOI: https://doi.org/10.3390/s21051802
- Bluetooth Low Energy Throughput in Densely Deployed Radio Environment