Electronic Resource

Activity learning : discovering, recognizing, and predicting human behavior from sensor data

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Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field

Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following:

Discovering activity patterns that emerge from behavior-based sensor data
Recognizing occurrences of predefined or discovered activities in real time
Predicting the occurrences of activities
The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use.

With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.

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Ketersediaan

Informasi Detail

Judul Seri

Wiley series on parallel and distributed computing

No. Panggil

E80

Penerbit

Hoboken, New Jersey : Wiley., 2015

Deskripsi Fisik

xvii, 288 hlm. : il.

Bahasa

English

ISBN/ISSN

9781119010258

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Teknologi Pendidikan
Pengajaran Berbantuan Komputer

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Diane J. Cook, Narayanan C. Krishnan

Versi lain/terkait

Lampiran Berkas

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