Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Low-Cost Sensors and Biological Signals
| Low-Cost Sensors and Biological Signals |
| Autore | Dierick Frédéric |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
accuracy
actigraphy actuation affective technologies Baduanjin biosensing characterization compensation concurrent validity data fusion design toolkits e-health ecological research eye tracker feasibility force sensitive resistors functional calibration gait gait analysis head motion measurement head rotation heart rate human-computer interaction IMU inertial measurement unit (IMU) inertial sensor inertial sensor measurement systems inertial sensors interaction design jumping Kinect kinematics low power MARG motion accuracy motion capture motion sensing motor variability n/a outcome assessment photoplethysmography physical education physical rehabilitation physiotherapy piezoelectric sensors PPG reaching rehabilitation reliability self-contained sensor calibration serious videogames smart insole somaesthetics state of the art telerehabilitation time-domain triaxial accelerometers trunk upper extremity upper limbs validity vertical ground reaction forces video motion capture wearable device wearable electronic devices wireless charging wireless connectivity |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557351603321 |
Dierick Frédéric
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Wearable Sensors Applied in Movement Analysis
| Wearable Sensors Applied in Movement Analysis |
| Autore | Buisseret Fabien |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (154 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
6 min walking test
artificial intelligence balance assessment Bayesian neural network camera system carving cerebral palsy choreoathetosis data augmentation dystonia elderly ensemble clustering method fall risk flex sensor functional walking gated recurrent unit gesture recognition head rotation test home-based human activity recognition IMU inertial measurement unit inertial measurement unit-IMU inertial sensor intermittent claudication K-means clustering method kinematics lifting technique logistic regression long-track speed skating low back pain machine learning MLP model search movement analysis movement complexity n/a neck pain neural network one-dimensional convolutional neural network pain self-efficacy questionnaire principal component analysis sample entropy scoring supervised machine learning trunk flexion TUG validity vascular rehabilitation ward clustering method wearable wearable device |
| ISBN | 3-0365-5859-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637794103321 |
|
Buisseret Fabien
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||