Table 5 Stereotyped behaviours.
Reference | Focus | N participants | Age | Input data/device used | Method used | Dataset |
|---|---|---|---|---|---|---|
Hashemi et al.95 | Behaviour analysis | 6 ASD, 14 TD | 16–30 months | Video, iPad | IntraFace | Own dataset |
Hashemi et al.92 | Sharing interest, visual tracking, and disengagement of attention detection | 3 ASD, 3 TD | 6–15 months | Video, two GoPro HD cameras | Histogram of Orientated Gradients (HOG) and SVM | Own dataset |
Hashemi et al.93 | Behaviour analysis | 12 ASD | 5–16 months | GoPro Hero HD | HOG and SVM | Own dataset |
Bidwell et al.94 | Behaviour analysis | 15–30 months | Video, Camera and Microsoft Kinect | Omron OKAO Vision Library | Multimodal Dyadic Behaviour (MMDB) Dataset | |
Campbell et al.96 | Atypical orienting and attention behaviours for behavioural observation | 22 ASD, 82 TD or DD | 16–31 months | Tablet Device | IntraFace | Own dataset |
Hashemi et al.97 | Engagement, name-call responses, and emotional responses | 15 ASD, 18 TD | 16–31 months | Video, iPad | IntraFace | Own dataset |
Wang et al.98 | Attention monitoring for diagnosis | 5 ASD, 12 TD | Video, two RGB cameras | Microsoft SDK | Own dataset | |
Bovery et al.99 | Attention monitoring for behavioural assessment | 22 ASD, 82 TD | 16–31 months | Video, iPad | IntraFace | Own dataset |
Rajagopalan and Goecke100 | Self-stimulatory behaviour detection | YouTube videos | Histogram of Dominant Motions (HDM) | Self-stimulatory Behaviour Dataset, UCF101 and Weizmann Datasets | ||
Rajagopalan et al.101 | Self-stimulatory behaviour detection | YouTube videos | Space Time Interest Points (STIP) with Harris3D detectors in a BOW framework | Self-stimulatory Behaviour Dataset | ||
Rajagopalan102 | Self-stimulatory behaviour detection | YouTube videos | Motion trajectories | Self-stimulatory Behaviour Dataset, UCF101, Hollywood 2 Datasets | ||
Winoto et al.103 | Behaviour analysis | 4 ASD, 4 TD | Microsoft Kinect v2 | |||
Feil-Seifer and Matarić104 | Interaction with robots for behaviour analysis | 8 ASD | Video, camera | Heuristics | Own dataset | |
Moghadas and Moradi105 | Interaction with robots for diagnosis | 8 ASD, 8 TD | ASD: 2.1–4.1 years TD: 2.11–7.6 years | Video, RobotParrot and two cameras | Kernelised Correlation Filter (KFC) and cosine similarity and SVM | Own dataset |
