Sensor Systems for Gesture Recognition II

• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2023
• Descrizione fisica: 1 online resource (254 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: abnormal gait behavior; adaptive interactive game; artificial neural network; background clutter; biomedical engineering; computer vision; data glove; dataset; deep learning; deep Q-network; electromyography; emotion driven; emotion judgment system; ensemble learning; extreme learning machine; football; force myography; forearm amputee; frequency emphasis; general movements; gloss prediction; grasshopper optimization algorithm; hand gesture recognition; hand posture; horse locomotion; human activity recognition; human-computer interactive; IMU; inertial measurement unit; inertial measurement units; infant movement analysis; k-tournament selection; machine learning; MARG; markerless; MIMU; motion analysis; movement disorders; multi-modal; OpenPose; orientation algorithm benchmarking; orientation estimation; pattern recognition; pose estimation; pose-based approach; random forest; reinforcement learning; RGB-D; sensor; sensor fusion algorithm; set of optimal signal features; Siamese tracker; sign language recognition; sports technology; surface electromyography; surgical education; surgical skills assessment; test; tracking drift; training effect; trajectory reconstruction; transformer; virtual hand; visual feedback training; visual tracking; XGBoost
• Sommario/riassunto: This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.
• Titolo autorizzato: Sensor Systems for Gesture Recognition II
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743280103321
• Lo trovi qui: Univ. Federico II