Developments in Plasmonic Sensors for Cancer Biomarkers, Ultra-low Power Accelerometers, Image Sensors with Reduced Megapixels, Combined Biometrics and Gesture Tracking, and Indoor Carbon Dioxide Detection

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Published: 2 Mar 2018

This issue of Sensor TechVision TOE profiles developments in plasmonic sensors for detecting key cancer biomarkers, ultra-low power accelerometers for wearables and IoT applications, cameras comprising multi-aspect ratio image sensors with reduced megapixels and improved image quality, combined biometrics and gesture tracking, and indoor CMOS-based carbon dioxide sensors. Sensor TechVision Opportunity Engine (TOE) captures global sensor-related innovations and developments on a weekly basis. Innovations are directed toward developing smart and intelligent sensors with functionalities beyond sensing. Research focus areas include: low power sensors (energy harvesting), industrial automation sensors (M2M, vision sensor), ubiquitous sensor (WSN, sensor fusion), smart sensors (wearables, quantified self), high sensitivity and smaller size (MEMS, nanosensors), and improved security (CBRNE, terahertz). The need for low power, smaller, lighter sensors with enhanced performance attributes and minimal false alarms is driving innovations in the sensors space. The Sensors and Instrumentation cluster covers innovations pertaining to technologies such as wireless sensors and networks, energy harvesting, haptics and touch, MEMS and nanosensors, Terahertz, ubiquitous/smart sensors, CBRNE, quantified-self, sensor fusion, M2M communications, and drones. Keywords: Inertial sensors, accelerometers, plasmonic sensors, nanosensors, cancer biomarkers, carcinoembryonic antigen (CEA), low-power accelerometers, activity tracking, smart clothes, smart watches, fitness tracker, home security, cameras, multi-aspect ratio image sensors, megapixels, facial recognition, gesture tracking, biometrics, carbon dioxide sensors, indoor air, ventilation. non-dispersive infrared, CMOS sensors



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