Title :
FATHOMing out interdisciplinary research transfer
Author :
Crockett, Keeley A. ; O´Shea, James D. ; Buckingham, Fiona J. ; Bandar, Zuhair A. ; MacQueen, Kathleen M. ; Chen, Mei ; Simpson, K.
Author_Institution :
Intell. Syst. Group, Manchester Metropolitan Univ., Manchester, UK
Abstract :
This paper presents a case study on the development and deployment of a computerised, non-invasive psychological profiling system which detects human comprehension through the monitoring of multiple channels of facial nonverbal behaviour using Artificial Neural Networks (ANN). Prior work on an earlier system known as Silent Talker, led to collaborations and a funded project with Family Health International 360 (FHI 360) in collaboration with the National Institute of Medical Research (NIMR), to produce the FATHOM system for measuring comprehension of the informed consent process amongst women in Tanzania. This paper describes the process of taking a working research prototype and deploying the system in a real working environment. The paper discusses the process of contract negotiation, global ethics and intellectual property rights. The FATHOM system and initial results are described.
Keywords :
diseases; gesture recognition; industrial property; monitoring; neural nets; psychology; ANN; FATHOM system; FHI 360; Family Health International 360; NIMR; National Institute of Medical Research; artificial neural networks; computerised profiling system; contract negotiation; facial nonverbal behaviour; global ethics; human comprehension; intellectual property rights; interdisciplinary research transfer; multiple channel monitoring; noninvasive psychological profiling system; silent talker; working environment; working research prototype; Artificial neural networks; Detectors; Educational institutions; Human immunodeficiency virus; Intellectual property; Support vector machine classification; Training; FATHOM; Silent Talker; artificial neural networks; human comprehension; microexpression; microgesture; nonverbal behaviour;
Conference_Titel :
Computational Intelligence for Engineering Solutions (CIES), 2013 IEEE Symposium on
Conference_Location :
Singapore
DOI :
10.1109/CIES.2013.6611733