語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Human activity recognition and behav...
~
Chen, Liming.
FindBook
Google Book
Amazon
博客來
Human activity recognition and behaviour analysis = for cyber-physical systems in smart environments /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Human activity recognition and behaviour analysis/ by Liming Chen, Chris D. Nugent.
其他題名:
for cyber-physical systems in smart environments /
作者:
Chen, Liming.
其他作者:
Nugent, Chris D.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
xxiv, 255 p. :ill., digital ;24 cm.
內容註:
Chapter 1. Introduction -- Chapter 2. Sensor-based Activity Recognition Review -- Chapter 3. An Ontology-based Approach to Activity Recognition -- Chapter 4. A Hybrid Approach to Activity Modelling -- Chapter 5. Time-window based Data Segmentation -- Chapter 6. Semantic-based Sensor Data Segmentation -- Chapter 7. Composite Activity Recognition -- Chapter 8. Semantic Smart Homes: Towards a Knowledge-rich Smart Environment -- Chapter 9. Semantic Smart Homes: Situation-aware Assisted Living -- Chapter 10. Human Centred Cyber Physical Systems.
Contained By:
Springer eBooks
標題:
Human activity recognition. -
電子資源:
https://doi.org/10.1007/978-3-030-19408-6
ISBN:
9783030194086
Human activity recognition and behaviour analysis = for cyber-physical systems in smart environments /
Chen, Liming.
Human activity recognition and behaviour analysis
for cyber-physical systems in smart environments /[electronic resource] :by Liming Chen, Chris D. Nugent. - Cham :Springer International Publishing :2019. - xxiv, 255 p. :ill., digital ;24 cm.
Chapter 1. Introduction -- Chapter 2. Sensor-based Activity Recognition Review -- Chapter 3. An Ontology-based Approach to Activity Recognition -- Chapter 4. A Hybrid Approach to Activity Modelling -- Chapter 5. Time-window based Data Segmentation -- Chapter 6. Semantic-based Sensor Data Segmentation -- Chapter 7. Composite Activity Recognition -- Chapter 8. Semantic Smart Homes: Towards a Knowledge-rich Smart Environment -- Chapter 9. Semantic Smart Homes: Situation-aware Assisted Living -- Chapter 10. Human Centred Cyber Physical Systems.
The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for the modelling and lifecycle analysis of human activities and behaviours based on real-time sensing observations from sensor networks and the Internet of Things. It also covers inference and decision-support methods and mechanisms, as well as personalization and adaptation techniques, which are required for emerging smart human-machine pervasive systems, such as self-management and assistive technologies in smart healthcare. Each chapter includes theoretical background, technological underpinnings and practical implementation, and step-by-step information on how to address and solve specific problems in topical areas. This monograph can be used as a textbook for postgraduate and PhD students on courses such as computer systems, pervasive computing, data analytics and digital health. It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few. Moreover, it offers smart technology and application developers practical insights into the use of activity recognition and behaviour analysis in state-of-the-art cyber-physical systems. Lastly, it provides healthcare solution developers and providers with information about the opportunities and possible innovative solutions for personalized healthcare and stratified medicine.
ISBN: 9783030194086
Standard No.: 10.1007/978-3-030-19408-6doiSubjects--Topical Terms:
2002448
Human activity recognition.
LC Class. No.: TK7882.P7
Dewey Class. No.: 006.3
Human activity recognition and behaviour analysis = for cyber-physical systems in smart environments /
LDR
:03260nmm a2200325 a 4500
001
2192000
003
DE-He213
005
20190619121815.0
006
m d
007
cr nn 008maaau
008
200506s2019 gw s 0 eng d
020
$a
9783030194086
$q
(electronic bk.)
020
$a
9783030194079
$q
(paper)
024
7
$a
10.1007/978-3-030-19408-6
$2
doi
035
$a
978-3-030-19408-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.P7
072
7
$a
UYQP
$2
bicssc
072
7
$a
COM016000
$2
bisacsh
072
7
$a
UYQP
$2
thema
082
0 4
$a
006.3
$2
23
090
$a
TK7882.P7
$b
C518 2019
100
1
$a
Chen, Liming.
$3
1948896
245
1 0
$a
Human activity recognition and behaviour analysis
$h
[electronic resource] :
$b
for cyber-physical systems in smart environments /
$c
by Liming Chen, Chris D. Nugent.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
xxiv, 255 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1. Introduction -- Chapter 2. Sensor-based Activity Recognition Review -- Chapter 3. An Ontology-based Approach to Activity Recognition -- Chapter 4. A Hybrid Approach to Activity Modelling -- Chapter 5. Time-window based Data Segmentation -- Chapter 6. Semantic-based Sensor Data Segmentation -- Chapter 7. Composite Activity Recognition -- Chapter 8. Semantic Smart Homes: Towards a Knowledge-rich Smart Environment -- Chapter 9. Semantic Smart Homes: Situation-aware Assisted Living -- Chapter 10. Human Centred Cyber Physical Systems.
520
$a
The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for the modelling and lifecycle analysis of human activities and behaviours based on real-time sensing observations from sensor networks and the Internet of Things. It also covers inference and decision-support methods and mechanisms, as well as personalization and adaptation techniques, which are required for emerging smart human-machine pervasive systems, such as self-management and assistive technologies in smart healthcare. Each chapter includes theoretical background, technological underpinnings and practical implementation, and step-by-step information on how to address and solve specific problems in topical areas. This monograph can be used as a textbook for postgraduate and PhD students on courses such as computer systems, pervasive computing, data analytics and digital health. It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few. Moreover, it offers smart technology and application developers practical insights into the use of activity recognition and behaviour analysis in state-of-the-art cyber-physical systems. Lastly, it provides healthcare solution developers and providers with information about the opportunities and possible innovative solutions for personalized healthcare and stratified medicine.
650
0
$a
Human activity recognition.
$3
2002448
650
0
$a
Artificial intelligence.
$3
516317
650
1 4
$a
Pattern Recognition.
$3
891045
650
2 4
$a
Computer Appl. in Social and Behavioral Sciences.
$3
892702
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
1565452
650
2 4
$a
Computer Communication Networks.
$3
775497
650
2 4
$a
Big Data/Analytics.
$3
2186785
650
2 4
$a
Input/Output and Data Communications.
$3
893593
700
1
$a
Nugent, Chris D.
$3
616492
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-3-030-19408-6
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9374596
電子資源
11.線上閱覽_V
電子書
EB TK7882.P7
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入