Machines perceive emotions: identifying affective states from human gait using on-body smart devices

Research output: Contribution to journal › Article › peer-review

Keywords

@article{5e64c16544284222b78811e174eb3bea,

title = "Machines perceive emotions: identifying affective states from human gait using on-body smart devices",

keywords = "Computer science and informatics",

author = "Imran, \{Hamza Ali\} and Qaiser Riaz and Muhammad Zeeshan and Mehdi Hussain and Razi Arshad",

year = "2023",

month = apr,

day = "9",

doi = "10.3390/app13084728",

language = "English",

volume = "13",

journal = "Applied Sciences",

issn = "2076-3417",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "8",

}

TY - JOUR

T1 - Machines perceive emotions

T2 - identifying affective states from human gait using on-body smart devices

AU - Imran, Hamza Ali

AU - Riaz, Qaiser

AU - Zeeshan, Muhammad

AU - Hussain, Mehdi

AU - Arshad, Razi

PY - 2023/4/9

Y1 - 2023/4/9

KW - Computer science and informatics

U2 - 10.3390/app13084728

DO - 10.3390/app13084728

M3 - Article

SN - 2076-3417

VL - 13

JO - Applied Sciences

JF - Applied Sciences

IS - 8

M1 - 4728

ER -