Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Human Activity Sensing = Corpus and ...
~
Inoue, Sozo.
Human Activity Sensing = Corpus and Applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Human Activity Sensing/ edited by Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven.
Reminder of title:
Corpus and Applications /
other author:
Kawaguchi, Nobuo.
Description:
XII, 250 p. 140 illus., 98 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
User interfaces (Computer systems). -
Online resource:
https://doi.org/10.1007/978-3-030-13001-5
ISBN:
9783030130015
Human Activity Sensing = Corpus and Applications /
Human Activity Sensing
Corpus and Applications /[electronic resource] :edited by Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven. - 1st ed. 2019. - XII, 250 p. 140 illus., 98 illus. in color.online resource. - Springer Series in Adaptive Environments,2522-5529. - Springer Series in Adaptive Environments,.
Optimizing of the Number and Placements of Wearable IMUs for Automatic Rehabilitation Recording -- Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor Data -- Compensation Scheme for PDR using Component-wise Error Models -- Towards the Design and Evaluation of Robust Audio-Sensing Systems -- A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body -- Drinking gesture recognition from poorly annotated data: a case study -- Understanding how Non-experts Collect and Annotate Activity Data -- MEASURed: Evaluating Sensor-based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture -- Benchmark performance for the Sussex-Huawei locomotion and transportation recognition challenge 2018 -- Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge.
Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur. This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.
ISBN: 9783030130015
Standard No.: 10.1007/978-3-030-13001-5doiSubjects--Topical Terms:
1253526
User interfaces (Computer systems).
LC Class. No.: QA76.9.U83
Dewey Class. No.: 005.437
Human Activity Sensing = Corpus and Applications /
LDR
:03076nam a22004335i 4500
001
1005883
003
DE-He213
005
20200705131146.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783030130015
$9
978-3-030-13001-5
024
7
$a
10.1007/978-3-030-13001-5
$2
doi
035
$a
978-3-030-13001-5
050
4
$a
QA76.9.U83
050
4
$a
QA76.9.H85
072
7
$a
UYZG
$2
bicssc
072
7
$a
COM070000
$2
bisacsh
072
7
$a
UYZG
$2
thema
082
0 4
$a
005.437
$2
23
082
0 4
$a
4.019
$2
23
245
1 0
$a
Human Activity Sensing
$h
[electronic resource] :
$b
Corpus and Applications /
$c
edited by Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven.
250
$a
1st ed. 2019.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
XII, 250 p. 140 illus., 98 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Springer Series in Adaptive Environments,
$x
2522-5529
505
0
$a
Optimizing of the Number and Placements of Wearable IMUs for Automatic Rehabilitation Recording -- Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor Data -- Compensation Scheme for PDR using Component-wise Error Models -- Towards the Design and Evaluation of Robust Audio-Sensing Systems -- A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body -- Drinking gesture recognition from poorly annotated data: a case study -- Understanding how Non-experts Collect and Annotate Activity Data -- MEASURed: Evaluating Sensor-based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture -- Benchmark performance for the Sussex-Huawei locomotion and transportation recognition challenge 2018 -- Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge.
520
$a
Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur. This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.
650
0
$a
User interfaces (Computer systems).
$3
1253526
650
0
$a
Data mining.
$3
528622
650
0
$a
Application software.
$3
528147
650
0
$a
Microprogramming .
$3
1257366
650
1 4
$a
User Interfaces and Human Computer Interaction.
$3
669793
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Information Systems Applications (incl. Internet).
$3
881699
650
2 4
$a
Control Structures and Microprogramming.
$3
669788
700
1
$a
Kawaguchi, Nobuo.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1299333
700
1
$a
Nishio, Nobuhiko.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1299334
700
1
$a
Roggen, Daniel.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
882004
700
1
$a
Inoue, Sozo.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1285891
700
1
$a
Pirttikangas, Susanna.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1299335
700
1
$a
Van Laerhoven, Kristof.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1299336
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030130008
776
0 8
$i
Printed edition:
$z
9783030130022
776
0 8
$i
Printed edition:
$z
9783030130039
830
0
$a
Springer Series in Adaptive Environments,
$x
2522-5529
$3
1279317
856
4 0
$u
https://doi.org/10.1007/978-3-030-13001-5
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login