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Aplikom_UNSRI_5.d Statistik Deskriptif_Sherly.Anggraini(06081181419005)
Data nilai matematika 20 siswa SMA di Sumatera Selatan. Nilai tertinggi 100 dimiliki Cinthia, terendah 45 oleh Sindiah. Modus 90 dimiliki oleh Budi, Maya, Odi dan Vetty. Median 74. Rata-rata nilai 75,8.
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This document proposes a multimodal wearable sensing system for fine-grained activity recognition in healthcare applications. It uses sensors like accelerometers, gyroscopes, temperature, humidity and pressure sensors along with Bluetooth beacons to recognize 19 different in-home activities. A 3-phase algorithm is used: 1) feature extraction from sensors, 2) structured classification of activities using CRF, 3) decision selection from multiple wearable devices. Experimental evaluation on a user achieved 80% accuracy in classifying activities. The system can distinguish complex activities like different sitting/lying poses for remote health monitoring.
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