Wearable Electronics Sensors (eBook, PDF)

For Safe and Healthy Living
Redaktion: Mukhopadhyay, Subhas C.

• Format: PDF

Produktbeschreibung

This edited book contains invited papers from renowned experts working in the field of Wearable Electronics Sensors. It includes 14 chapters describing recent advancements in the area of Wearable Sensors, Wireless Sensors and Sensor Networks, Protocols, Topologies, Instrumentation architectures, Measurement techniques, Energy harvesting and scavenging, Signal processing, Design and Prototyping. The book will be useful for engineers, scientist and post-graduate students as a reference book for their research on wearable sensors, devices and technologies which is experiencing a period of rapid growth driven by new applications such as heart rate monitors, smart watches, tracking devices and smart glasses.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 333
• Erscheinungstermin: 2. Juni 2015
• Englisch
• ISBN-13: 9783319181912
• Artikelnr.: 44133665

Inhaltsangabe

Wearable Electronics Sensors: Current Status and Future Opportunities.- TOTAL HEALTH: Toward Continuous Personal Monitoring.- A Novel Biometric Algorithm to Secure Body Sensor Networks.- Ultra Low-Power Hardware-Assisted Signal Screening in Wearable Systems.- Ultra Low-Power Hardware-Assisted Signal Screening in Wearable Systems.- Inexpensive and Power-Efficient Wireless Health Monitoring System for the Aging Population.- Evidence-based Development Approach for Safe, Sustainable and Secure Mobile Medical App.- Wearable And Flexible Sensor Sheets Toward Periodic Health Monitoring.- Temperature Sensitive Fabric for Monitoring Dermal Temperature Variations.- Strain Sensors in Wearable Devices.- Probabilistic Estimation of Respiratory Rate from Wearable Sensors.- Ambient Intelligence System for The Remote Monitoring and Control of Sleep Quality.- Measurement of Human Gait Using a Wearable System with Force Sensors and Inertial Sensors.- Towards a Brain-Machine System for Auditory Scene Analysis.- Wearable Sensing for Bio-feedback in Human Robot Interaction.