Daily human activities recognition using heterogeneous sensors from smart devices (Record no. 6556)

MARC details
000 -LEADER
fixed length control field 01904nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122852.0
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fixed length control field 190705b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Devika B Kumar (92217009)
9 (RLIN) 16117
245 ## - TITLE STATEMENT
Title Daily human activities recognition using heterogeneous sensors from smart devices
300 ## - PHYSICAL DESCRIPTION
Extent MSC DA 2017-2019
500 ## - GENERAL NOTE
General note Physical activities play a very important role in our physical and mental<br/>well-being. The lack of physical activities can negatively aect our wellbeing.<br/>Though people know the importance of physical activities, still they<br/>need regular motivational feedback to remain active in their daily life. In<br/>order to give them proper motivational feedback, we need to recognize their<br/>physical activates rst (in our case, the main target group is knowledge workers).<br/>Therefore, this research is about recognizing human context (condition,<br/>activity and situation etc.) using heterogeneous sensors. If recognized reliably,<br/>this context can enable novel well-being applications in dierent elds,<br/>for example, healthcare. As a rst step to achieve this goal, we recognize<br/>some physical activities using smartphone sensors like accelerometer, gyroscope,<br/>and magnetometer. Moreover, we are simulating a smartphone on a<br/>wrist position as a smart watch and want to see the possibilities of activity<br/>recognition with upcoming smart watches. We want to reliably recognize<br/>physical activities using heterogeneous sensor information, that may be incomplete<br/>or unreliable. We are currently working on improving the existing<br/>work by investigating and solving the open challenges in activity recognition<br/>using smartphone sensors.
502 ## - DISSERTATION NOTE
Degree type MSC DA
Name of granting institution 2017-2019
Year degree granted INT
-- Dr T K Manoj Kumar
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element RANDOM FOREST
9 (RLIN) 16118
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DECISION TREE
9 (RLIN) 16119
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NAIVE BAYES
9 (RLIN) 16120
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MACHINE LEARNING
9 (RLIN) 16121
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   05/07/2019   R-1549 05/07/2019 05/07/2019 Project Reports