Low-Cost Sensors and Biological Signals
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| Autore: |
Dierick Frédéric
|
| Titolo: |
Low-Cost Sensors and Biological Signals
|
| Pubblicazione: | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica: | 1 electronic resource (240 p.) |
| Soggetto topico: | Technology: general issues |
| Soggetto non controllato: | 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 | |
| Persona (resp. second.): | BuisseretFabien |
| EggermontStéphanie | |
| DierickFrédéric | |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Low-Cost Sensors and Biological Signals |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910557351603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |