Low Grade Sensors: Data Visualization and Motion Tracking

Related lectures (32)

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Explores the use of inertial sensors for gait analysis and wearable systems.

Explores sensor technologies in MEMS, focusing on pressure sensors, accelerometers, and gyroscopes, and highlights the significance of sensor fusion.

Covers low power sensor technology for IoT and wearables, focusing on activity sensors based on MEMS and biosignals.

Explores gyroscopes, their history, applications in aeronautics, and effects on rotating objects.

Covers scaling laws in micro/nanomechanical devices and explores diverse MEMS applications.

Covers the principles of inertial sensors and drift removal techniques.

Discusses the design and importance of flexible guides in microtechnology, highlighting their benefits and applications in MEMS devices.

Explains gyroscopic motion, moments of inertia, and precession principles.

Covers data visualization techniques, tools, and concepts for effective data representation.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.