Innovations in Skin Sensors, Lane Changing Systems, Flexible Sodium Sensors, Eye Tracking Image Sensors, and Radio Wave Sensors, 2018 Study - ResearchAndMarkets.com

The "Innovations in Skin Sensors, Lane Changing Systems, Flexible Sodium Sensors, Eye Tracking Image Sensors, and Radio Wave Sensors" report has been added to ResearchAndMarkets.com's offering.

This issue of Sensor TechVision TOE highlights innovations in multi-touch skin sensors; camera-based lane changing systems; stretchable, flexible sodium sensors, image sensors for eye tracking; and radio wave sensors enabling smart devices.

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.

Key Topics Covered

  1. Skin Sensor for Human-computer Interaction
  2. Camera System for Lane Change Assistance
  3. Stretchable Sensor for Monitoring Salt Intake in Food
  4. Low-power Image Sensor for Eye Tracking Applications
  5. Radio Wave Sensor for Contactless, Smart Applications
  6. Industry Contacts

For more information about this report visit https://www.researchandmarkets.com/research/jd4bfn/innovations_in?w=4

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Related Topics: Optical Sensors, Artificial Intelligence

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