2017 |
Abdullah, M H L; Brereton, M Persatuan untuk Jentera Pengkomputeran, 2017, ISBN: 9781450353793, (dipetik oleh 1). Abstrak | Pautan | BibTeX | Tag: Gangguan Spektrum Autisme, Kelakuan, Anak-anak, Komunikasi, Penyakit, Interaksi Komputer Manusia, Sistem Komputer Interaktif, Aplikasi iPad, Bahasa, MyCalendar, Foto dan Video, Sosialisasi, Mengajar @ persidangan{Abdullah2017201, tajuk = {MyCalendar: Menyokong kanak-kanak dalam spektrum autisme untuk mempelajari bahasa dan tingkah laku yang sesuai}, pengarang = {M H L Abdullah dan M Brereton}, penyunting = {Soro Ploderer Waycott Morrison A BJA Brereton M. Vyas D.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044237930&doi=10.1145/3152771.3152793&rakan kongsi = 40&md5=eebe825991d9c6b91971c67113c9b100}, doi = {10.1145/3152771.3152793}, isbn = {9781450353793}, tahun = {2017}, tarikh = {2017-01-01}, jurnal = {Siri Prosiding Persidangan Antarabangsa ACM}, halaman = {201-209}, penerbit = {Persatuan untuk Jentera Pengkomputeran}, abstrak = {Kertas1 ini membentangkan kajian di mana aplikasi kalendar visual mudah alih, 'MyCalendar' digunakan untuk cuba menyokong komunikasi dan interaksi kanak-kanak dengan Gangguan Spektrum Autisme. Kertas kerja ini melaporkan penemuan tentang cara Apl digunakan dalam bilik darjah sekolah. MyCalendar telah dinilai dengan 11 kanak-kanak di Unit Pendidikan Khas Autisme Australia selama enam bulan dan didapati merangsang keseronokan dengan perkongsian video dan foto serta interaksi dalam aktiviti bilik darjah tertentu. Kerja kami sebelum ini mengkaji interaksi antara rumah dan sekolah, dan interaksi di rumah yang disokong oleh MyCalendar. Analisis ini memberi tumpuan sepenuhnya kepada interaksi di sekolah dengan meneliti data daripada aktiviti bilik darjah. Tiga penemuan didedahkan: (1) aplikasi MyCalendar menyokong aktiviti pembelajaran di dalam bilik darjah dan memudahkan kemasukan kanak-kanak dengan ASD yang mempunyai kemahiran lisan yang terhad. Perkongsian pengalaman peribadi setiap kanak-kanak membolehkan guru dan kanak-kanak membentuk asas yang sama untuk komunikasi dan menambah perbendaharaan kata., serta membenarkan guru mencontohi bahasa untuk mengenal pasti emosi kanak-kanak; (2) MyCalendar membenarkan kanak-kanak yang mempunyai kemahiran lisan yang terhad untuk berkomunikasi dengan lebih baik minat sebenar mereka melalui foto dan video. Ini membolehkan guru mengenal pasti minat setiap kanak-kanak dengan lebih baik dan dengan itu merangsang pembelajaran yang lebih relevan dan bermakna; (3) Memahami minat membolehkan guru berjaya memotivasikan kanak-kanak untuk lebih berinteraksi dalam aktiviti pembelajaran formal. Walaupun pada mulanya dijangka aktiviti itu akan lebih menyokong komunikasi antara guru dan kanak-kanak, Kesan yang lebih besar dan tidak dijangka adalah untuk mewujudkan peluang untuk menstruktur dan membentuk komunikasi dan interaksi sosial di dalam bilik darjah. © 2017 Persatuan untuk Jentera Pengkomputeran. Hak cipta terpelihara.}, nota = {dipetik oleh 1}, kata kunci = {Gangguan Spektrum Autisme, Kelakuan, Anak-anak, Komunikasi, Penyakit, Interaksi Komputer Manusia, Sistem Komputer Interaktif, Aplikasi iPad, Bahasa, MyCalendar, Foto dan Video, Sosialisasi, Mengajar}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Kertas1 ini membentangkan kajian di mana aplikasi kalendar visual mudah alih, 'MyCalendar' digunakan untuk cuba menyokong komunikasi dan interaksi kanak-kanak dengan Gangguan Spektrum Autisme. Kertas kerja ini melaporkan penemuan tentang cara Apl digunakan dalam bilik darjah sekolah. MyCalendar telah dinilai dengan 11 kanak-kanak di Unit Pendidikan Khas Autisme Australia selama enam bulan dan didapati merangsang keseronokan dengan perkongsian video dan foto serta interaksi dalam aktiviti bilik darjah tertentu. Kerja kami sebelum ini mengkaji interaksi antara rumah dan sekolah, dan interaksi di rumah yang disokong oleh MyCalendar. Analisis ini memberi tumpuan sepenuhnya kepada interaksi di sekolah dengan meneliti data daripada aktiviti bilik darjah. Tiga penemuan didedahkan: (1) aplikasi MyCalendar menyokong aktiviti pembelajaran di dalam bilik darjah dan memudahkan kemasukan kanak-kanak dengan ASD yang mempunyai kemahiran lisan yang terhad. Perkongsian pengalaman peribadi setiap kanak-kanak membolehkan guru dan kanak-kanak membentuk asas yang sama untuk komunikasi dan menambah perbendaharaan kata., serta membenarkan guru mencontohi bahasa untuk mengenal pasti emosi kanak-kanak; (2) MyCalendar membenarkan kanak-kanak yang mempunyai kemahiran lisan yang terhad untuk berkomunikasi dengan lebih baik minat sebenar mereka melalui foto dan video. Ini membolehkan guru mengenal pasti minat setiap kanak-kanak dengan lebih baik dan dengan itu merangsang pembelajaran yang lebih relevan dan bermakna; (3) Memahami minat membolehkan guru berjaya memotivasikan kanak-kanak untuk lebih berinteraksi dalam aktiviti pembelajaran formal. Walaupun pada mulanya dijangka aktiviti itu akan lebih menyokong komunikasi antara guru dan kanak-kanak, Kesan yang lebih besar dan tidak dijangka adalah untuk mewujudkan peluang untuk menstruktur dan membentuk komunikasi dan interaksi sosial di dalam bilik darjah. © 2017 Persatuan untuk Jentera Pengkomputeran. Hak cipta terpelihara. |
2016 |
Abdullah, M H L; Wilson, C; Brereton, M MyCalendar: Supporting families to communicate with their child on the autism spectrum Persidangan Persatuan untuk Jentera Pengkomputeran, Syarikat, 2016, ISBN: 9781450346184, (dipetik oleh 4). Abstrak | Pautan | BibTeX | Tag: Gangguan Spektrum Autisme, Kelakuan, Anak-anak, Komunikasi, Penyakit, Interaksi Komputer Manusia, Sistem Komputer Interaktif, Aplikasi iPad, MyCalendar, Foto dan Video, Sosialisasi @ persidangan{Abdullah2016613, tajuk = {MyCalendar: Supporting families to communicate with their child on the autism spectrum}, pengarang = {M H L Abdullah and C Wilson and M Brereton}, penyunting = {Parker C.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012023591&doi=10.1145%2f3010915.3011000&rakan kongsi = 40&md5=1b5c49a1a74b95fd3e456bc1ea1d9ee4}, doi = {10.1145/3010915.3011000}, isbn = {9781450346184}, tahun = {2016}, tarikh = {2016-01-01}, jurnal = {Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016}, halaman = {613-617}, penerbit = {Persatuan untuk Jentera Pengkomputeran, Syarikat}, abstrak = {This paper presents a study in which a mobile application, 'MyCalendar', was trialled with children on the autism spectrum and their families. In previous work, we described how the MyCalendar app supported communication across both home and school settings through photos and videos of the child's activities, presented in the format of a visual calendar. These visuals supported the child to communicate and socialise and to recall activities and helped adults to better understand the child holistically. This note augments previous work on MyCalendar by focusing on interactions at home within the family. Findings revealed that routine review of activities documented in MyCalendar enabled children to participate more in family conversations, extended their time spent interacting socially, and reinforced social relationships. This gave the children on the autism spectrum greater opportunity to share and communicate within the family as well as to share their interactions at school with family members. Hak Cipta © 2016 ACM.}, nota = {dipetik oleh 4}, kata kunci = {Gangguan Spektrum Autisme, Kelakuan, Anak-anak, Komunikasi, Penyakit, Interaksi Komputer Manusia, Sistem Komputer Interaktif, Aplikasi iPad, MyCalendar, Foto dan Video, Sosialisasi}, pubstate = {diterbitkan}, tppubtype = {persidangan} } This paper presents a study in which a mobile application, 'MyCalendar', was trialled with children on the autism spectrum and their families. In previous work, we described how the MyCalendar app supported communication across both home and school settings through photos and videos of the child's activities, presented in the format of a visual calendar. These visuals supported the child to communicate and socialise and to recall activities and helped adults to better understand the child holistically. This note augments previous work on MyCalendar by focusing on interactions at home within the family. Findings revealed that routine review of activities documented in MyCalendar enabled children to participate more in family conversations, extended their time spent interacting socially, and reinforced social relationships. This gave the children on the autism spectrum greater opportunity to share and communicate within the family as well as to share their interactions at school with family members. Hak Cipta © 2016 ACM. |
2013 |
Selvaraj, J; Murugappan, M; Van, K; Yaacob, S Classification of emotional states from electrocardiogram signals: A non-linear approach based on hurst Artikel Jurnal BioMedical Engineering Online, 12 (1), 2013, ISSN: 1475925X, (dipetik oleh 42). Abstrak | Pautan | BibTeX | Tag: Remaja, Dewasa, Aged, Artikel, Audio-Visual Stimulus, Autonomous Nervous Systems, Anak-anak, Ketepatan Pengelasan, Computer Based Training, Computer-Assisted, Electrocardiogram Signal, Electrocardiography, Emosi, Perempuan, Fuzzy K-nearest Neighbor, Higher-Order Statistic (HOS), Manusia, Kecacatan Intelektual, Sistem Komputer Interaktif, Metodologi, Pertengahan umur, Nonlinear Dynamics, Nonlinear System, Prosedur, Real Time Systems, Pemprosesan isyarat, Statistik, Dewasa Muda @artikel{Selvaraj2013, tajuk = {Classification of emotional states from electrocardiogram signals: A non-linear approach based on hurst}, pengarang = {J Selvaraj and M Murugappan and K Wan and S Yaacob}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879017985&doi=10.1186%2f1475-925X-12-44&rakan kongsi = 40&md5=18c5309ac9f3017f455480f1ff732a30}, doi = {10.1186/1475-925X-12-44}, terbitan = {1475925X}, tahun = {2013}, tarikh = {2013-01-01}, jurnal = {BioMedical Engineering Online}, isi padu = {12}, nombor = {1}, penerbit = {BioMed Central Ltd.}, abstrak = {Latar belakang: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) signals, being an activity of the autonomous nervous system (ANS), reflect the underlying true emotional state of a person. Walau bagaimanapun, the performance of various methods developed so far lacks accuracy, and more robust methods need to be developed to identify the emotional pattern associated with ECG signals.Methods: Emotional ECG data was obtained from sixty participants by inducing the six basic emotional states (happiness, sadness, fear, disgust, surprise and neutral) using audio-visual stimuli. The non-linear feature 'Hurst' was computed using Rescaled Range Statistics (RRS) and Finite Variance Scaling (FVS) methods. New Hurst features were proposed by combining the existing RRS and FVS methods with Higher Order Statistics (HOS). The features were then classified using four classifiers - Bayesian Classifier, Regression Tree, K- nearest neighbor and Fuzzy K-nearest neighbor. Seventy percent of the features were used for training and thirty percent for testing the algorithm.Results: Analysis of Variance (ANOVA) conveyed that Hurst and the proposed features were statistically significant (hlm < 0.001). Hurst computed using RRS and FVS methods showed similar classification accuracy. The features obtained by combining FVS and HOS performed better with a maximum accuracy of 92.87% and 76.45% for classifying the six emotional states using random and subject independent validation respectively.Conclusions: The results indicate that the combination of non-linear analysis and HOS tend to capture the finer emotional changes that can be seen in healthy ECG data. This work can be further fine tuned to develop a real time system. © 2013 Selvaraj et al.; licensee BioMed Central Ltd.}, nota = {dipetik oleh 42}, kata kunci = {Remaja, Dewasa, Aged, Artikel, Audio-Visual Stimulus, Autonomous Nervous Systems, Anak-anak, Ketepatan Pengelasan, Computer Based Training, Computer-Assisted, Electrocardiogram Signal, Electrocardiography, Emosi, Perempuan, Fuzzy K-nearest Neighbor, Higher-Order Statistic (HOS), Manusia, Kecacatan Intelektual, Sistem Komputer Interaktif, Metodologi, Pertengahan umur, Nonlinear Dynamics, Nonlinear System, Prosedur, Real Time Systems, Pemprosesan isyarat, Statistik, Dewasa Muda}, pubstate = {diterbitkan}, tppubtype = {artikel} } Latar belakang: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) signals, being an activity of the autonomous nervous system (ANS), reflect the underlying true emotional state of a person. Walau bagaimanapun, the performance of various methods developed so far lacks accuracy, and more robust methods need to be developed to identify the emotional pattern associated with ECG signals.Methods: Emotional ECG data was obtained from sixty participants by inducing the six basic emotional states (happiness, sadness, fear, disgust, surprise and neutral) using audio-visual stimuli. The non-linear feature 'Hurst' was computed using Rescaled Range Statistics (RRS) and Finite Variance Scaling (FVS) methods. New Hurst features were proposed by combining the existing RRS and FVS methods with Higher Order Statistics (HOS). The features were then classified using four classifiers - Bayesian Classifier, Regression Tree, K- nearest neighbor and Fuzzy K-nearest neighbor. Seventy percent of the features were used for training and thirty percent for testing the algorithm.Results: Analysis of Variance (ANOVA) conveyed that Hurst and the proposed features were statistically significant (hlm < 0.001). Hurst computed using RRS and FVS methods showed similar classification accuracy. The features obtained by combining FVS and HOS performed better with a maximum accuracy of 92.87% dan 76.45% for classifying the six emotional states using random and subject independent validation respectively.Conclusions: The results indicate that the combination of non-linear analysis and HOS tend to capture the finer emotional changes that can be seen in healthy ECG data. This work can be further fine tuned to develop a real time system. © 2013 Selvaraj et al.; licensee BioMed Central Ltd. |
Ujianadminnaacuitm2020-05-28T06:49:14+00:00
2017 |
Persatuan untuk Jentera Pengkomputeran, 2017, ISBN: 9781450353793, (dipetik oleh 1). |
2016 |
MyCalendar: Supporting families to communicate with their child on the autism spectrum Persidangan Persatuan untuk Jentera Pengkomputeran, Syarikat, 2016, ISBN: 9781450346184, (dipetik oleh 4). |
2013 |
Classification of emotional states from electrocardiogram signals: A non-linear approach based on hurst Artikel Jurnal BioMedical Engineering Online, 12 (1), 2013, ISSN: 1475925X, (dipetik oleh 42). |