Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
IoT sensor-based activity recognitio...
~
Ahad, Md Atiqur Rahman.
Linked to FindBook
Google Book
Amazon
博客來
IoT sensor-based activity recognition = human activity recognition /
Record Type:
Electronic resources : Monograph/item
Title/Author:
IoT sensor-based activity recognition/ by Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed.
Reminder of title:
human activity recognition /
Author:
Ahad, Md Atiqur Rahman.
other author:
Antar, Anindya Das.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
xxxiv, 189 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Human activity recognition. -
Online resource:
https://doi.org/10.1007/978-3-030-51379-5
ISBN:
9783030513795
IoT sensor-based activity recognition = human activity recognition /
Ahad, Md Atiqur Rahman.
IoT sensor-based activity recognition
human activity recognition /[electronic resource] :by Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed. - Cham :Springer International Publishing :2021. - xxxiv, 189 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1731868-4394 ;. - Intelligent systems reference library ;v.173..
This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human-computer interaction, and the Internet of Things.
ISBN: 9783030513795
Standard No.: 10.1007/978-3-030-51379-5doiSubjects--Topical Terms:
2002448
Human activity recognition.
LC Class. No.: TK7882.P7 / A43 2021
Dewey Class. No.: 006.4
IoT sensor-based activity recognition = human activity recognition /
LDR
:01739nmm a2200337 a 4500
001
2235618
003
DE-He213
005
20200730135912.0
006
m d
007
cr nn 008maaau
008
211111s2021 sz s 0 eng d
020
$a
9783030513795
$q
(electronic bk.)
020
$a
9783030513788
$q
(paper)
024
7
$a
10.1007/978-3-030-51379-5
$2
doi
035
$a
978-3-030-51379-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.P7
$b
A43 2021
072
7
$a
UN
$2
bicssc
072
7
$a
COM018000
$2
bisacsh
072
7
$a
UN
$2
thema
072
7
$a
TB
$2
thema
082
0 4
$a
006.4
$2
23
090
$a
TK7882.P7
$b
A285 2021
100
1
$a
Ahad, Md Atiqur Rahman.
$3
3486273
245
1 0
$a
IoT sensor-based activity recognition
$h
[electronic resource] :
$b
human activity recognition /
$c
by Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xxxiv, 189 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Intelligent systems reference library,
$x
1868-4394 ;
$v
v.173
520
$a
This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human-computer interaction, and the Internet of Things.
650
0
$a
Human activity recognition.
$3
2002448
650
0
$a
Internet of things.
$3
2057703
650
1 4
$a
Data Engineering.
$3
3409361
650
2 4
$a
Cyber-physical systems, IoT.
$3
3386699
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Signal, Image and Speech Processing.
$3
891073
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
892554
700
1
$a
Antar, Anindya Das.
$3
3486274
700
1
$a
Ahmed, Masud.
$3
3486275
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Intelligent systems reference library ;
$v
v.173.
$3
3486276
856
4 0
$u
https://doi.org/10.1007/978-3-030-51379-5
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9397503
電子資源
11.線上閱覽_V
電子書
EB TK7882.P7 A43 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login