Low-Cost Sensors and Biological Signals
Material type:
ArticleLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021Description: 1 electronic resource (240 p.)ISBN: - books978-3-0365-0843-6
- 9783036508429
- 9783036508436
- Technology: general issues
- inertial sensor
- gait
- validity
- functional calibration
- accuracy
- wearable electronic devices
- kinematics
- head rotation
- ecological research
- gait analysis
- characterization
- smart insole
- vertical ground reaction forces
- force sensitive resistors
- piezoelectric sensors
- sensor calibration
- heart rate
- photoplethysmography
- PPG
- time-domain
- wearable device
- concurrent validity
- outcome assessment
- feasibility
- rehabilitation
- data fusion
- MARG
- IMU
- eye tracker
- self-contained
- head motion measurement
- motor variability
- actigraphy
- triaxial accelerometers
- jumping
- human-computer interaction
- affective technologies
- interaction design
- biosensing
- actuation
- somaesthetics
- design toolkits
- serious videogames
- motion capture
- upper limbs
- physical rehabilitation
- telerehabilitation
- inertial sensors
- inertial measurement unit (IMU)
- state of the art
- inertial sensor measurement systems
- motion accuracy
- Baduanjin
- physical education
- physiotherapy
- e-health
- motion sensing
- wireless charging
- wireless connectivity
- low power
- trunk
- upper extremity
- compensation
- reaching
- Kinect
- video motion capture
- reliability
- n/a
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Open Access star Unrestricted online access
Many sensors are currently available at prices lower than USD 100 and cover a wide range of biological signals: motion, muscle activity, heart rate, etc. Such low-cost sensors have metrological features allowing them to be used in everyday life and clinical applications, where gold-standard material is both too expensive and time-consuming to be used. The selected papers present current applications of low-cost sensors in domains such as physiotherapy, rehabilitation, and affective technologies. The results cover various aspects of low-cost sensor technology from hardware design to software optimization.
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