@ persidangan{Jamil2015342,
tajuk = {Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation},
pengarang = {N Jamil and N H M Khir and M Ismail and F H A Razak},
penyunting = {Miskon M F Yussof H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962833568&doi=10.1016%2fj.procs.2015.12.305&rakan kongsi = 40&md5=6893678f1ed83b87147ff9183b94428b},
doi = {10.1016/j.procs.2015.12.305},
terbitan = {18770509},
tahun = {2015},
tarikh = {2015-01-01},
jurnal = {Sains Komputer Procedia},
isi padu = {76},
halaman = {342-348},
penerbit = {Elsevier B.V.},
abstrak = {With the disturbing increase of children with Autism Spectrum Disorder (ASD) di Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. Walau bagaimanapun, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Oleh itu, we proposed the use of walking patterns (i.e.. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Oleh itu, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 Penulis.},
nota = {dipetik oleh 4},
kata kunci = {Gangguan Spektrum Autisme, Kanak-kanak dengan Autisme, Perolehan data, Penyakit, Emosi, Emotion Detection, Emotion Recognition, Keadaan emosi, Ekspresi wajah, Analisis Gait, Kawalan Pintar, Perhubungan tanpa percakapan, Pengecaman Corak, Robotik, Sensor Pintar, Komunikasi Sosial, Pengenalan suara},
pubstate = {diterbitkan},
tppubtype = {persidangan}
}

@ persidangan{Othman2010315,
tajuk = {Memahami persepsi kanak-kanak autisme melalui EEG},
pengarang = {M Othman dan A Wahab},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883660524&rakan kongsi = 40&md5=df9dac75053fbfa693b4823d5a0a77ad},
isbn = {9781617820267},
tahun = {2010},
tarikh = {2010-01-01},
jurnal = {23rd Persidangan Antarabangsa mengenai Aplikasi Komputer dalam Industri dan Kejuruteraan 2010, CAINE 2010 - Termasuk SNA 2010 Bengkel},
halaman = {315-320},
abstrak = {Kanak-kanak autisme dikenali sebagai sukar memahami ekspresi muka manusia, menjadikan mereka tidak mampu mentafsir keadaan emosi orang lain. Kertas kerja ini cuba memahami persepsi kanak-kanak autisme dengan menganalisis isyarat otak menggunakan MFCC dan MLP. Kajian empirikal telah dijalankan pada 6 autisme dan 6 lazimnya kanak-kanak yang sedang berkembang. Gelombang otak subjek dipantau sambil menonton tenang, muka gembira dan sedih. Keputusan eksperimen menunjukkan bahawa adalah mungkin untuk mendiskriminasi emosi kanak-kanak autistik terhadap subjek kawalan dengan ketepatan 76.61%. Gelombang otak kanak-kanak autisme juga menunjukkan trend emosi songsang berbanding kanak-kanak normal sambil melihat wajah gembira dan sedih.},
nota = {dipetik oleh 0},
kata kunci = {Gangguan Spektrum Autisme, Kanak-kanak Autistik, Penyelidikan Tingkah Laku, Kanak-kanak dengan Autisme, Aplikasi Komputer, Subjek Kawalan, Elektroensefalografi, Emosi, Keadaan emosi, Kajian Empirikal, Ekspresi wajah, Pekali Cepstral Frekuensi Mel, Multilayer-Percheptron (MLP), Pengenalan suara},
pubstate = {diterbitkan},
tppubtype = {persidangan}
}