語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Smartphone-based human activity reco...
~
Ortiz, Jorge Luis Reyes.
Smartphone-based human activity recognition
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Smartphone-based human activity recognitionby Jorge Luis Reyes Ortiz.
作者:
Ortiz, Jorge Luis Reyes.
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
xxiii, 133 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Human activity recognition.
電子資源:
http://dx.doi.org/10.1007/978-3-319-14274-6
ISBN:
9783319142746 (electronic bk.)
Smartphone-based human activity recognition
Ortiz, Jorge Luis Reyes.
Smartphone-based human activity recognition
[electronic resource] /by Jorge Luis Reyes Ortiz. - Cham :Springer International Publishing :2015. - xxiii, 133 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Human Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
The book reports on the author's original work to address the use of today's state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politecnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
ISBN: 9783319142746 (electronic bk.)
Standard No.: 10.1007/978-3-319-14274-6doiSubjects--Topical Terms:
514230
Human activity recognition.
LC Class. No.: TK7882.P7
Dewey Class. No.: 006.3
Smartphone-based human activity recognition
LDR
:02537nmm a2200349 a 4500
001
461483
003
DE-He213
005
20150902110105.0
006
m d
007
cr nn 008maaau
008
151110s2015 gw s 0 eng d
020
$a
9783319142746 (electronic bk.)
020
$a
9783319142739 (paper)
024
7
$a
10.1007/978-3-319-14274-6
$2
doi
035
$a
978-3-319-14274-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.P7
072
7
$a
TTBM
$2
bicssc
072
7
$a
UYS
$2
bicssc
072
7
$a
TEC008000
$2
bisacsh
072
7
$a
COM073000
$2
bisacsh
082
0 4
$a
006.3
$2
23
090
$a
TK7882.P7
$b
O77 2015
100
1
$a
Ortiz, Jorge Luis Reyes.
$3
713605
245
1 0
$a
Smartphone-based human activity recognition
$h
[electronic resource] /
$c
by Jorge Luis Reyes Ortiz.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xxiii, 133 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer theses,
$x
2190-5053
505
0
$a
Human Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
520
$a
The book reports on the author's original work to address the use of today's state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politecnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
650
0
$a
Human activity recognition.
$3
514230
650
0
$a
Smartphones.
$3
484247
650
0
$a
Location-based services.
$3
509754
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Signal, Image and Speech Processing.
$3
273768
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
274517
650
2 4
$a
Robotics and Automation.
$3
357111
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Springer theses.
$3
557607
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-14274-6
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000110990
電子館藏
1圖書
電子書
EB TK7882.P7 O77 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-14274-6
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入