The goal of real-time feedback on physiological changes, stress monitoring and even emotion detection is becoming a technological reality. People in their daily life experience varying emotional states, some of which are negative and which can lead to decreased attention, decreased productivity and ultimately, reduced quality of life. Therefore, having a solution that continuously monitors the physiological signals of the person and assesses his or her emotional well-being could be a very valuable tool. This paper aims to review existing physiological and motional monitoring devices, highlight their features and compare their sensing capabilities. Such technology would be particularly useful for certain populations who experience rapidly changing emotional states such as people with autism spectrum disorder and people with intellectual disabilities. Wearable sensing devices present a potential solution that can support and complement existing behavioral interventions. This paper presents a review of existing and emerging products in the market. It reviews the literature on state-of-the-art prototypes and analyzes their usefulness, clinical validity, and discusses clinical perspectives. A small number of products offer reliable physiological internal state monitoring and may be suitable for people with Autism Spectrum Disorder (ASD). It is likely that more promising solutions will be available in the near future. Therefore, caregivers should be careful in their selection of devices that meet the care-receiver’s personal needs and have strong research support for reliability and validity.

Parents want greater collaboration between parents and professionals. They identified a keyworker as a potential solution to the current system that is not child-centred. This would also lessen the burden associated with high levels of advocacy.

Br J Learn Disabil. 2018;46:155-162. wileyonlinelibrary.com/journal/bld | 155

Background Autism is associated with difficulty interacting with others and an impaired ability to recognize facial expressions of emotion. Previous teaching programmes have not addressed weak central coherence. MethodEmotion recognition training focused on components of facial expressions. The training was administered in small groups ranging from 4 to 7 children. ResultsImprovements were significantly better for the training group (n= 20, mean age 9 years, 3 months) than a waiting list control group (n=10, mean age 10 years, 7 months). Pre and post measures revealed an effect size of the training of Cohen's d = 1.42. ConclusionThe impact of the training was highly significant. There was evidence of some generalisation of the emotion recognition and improvements at follow-up.

Outpatient normative data for British participants are presented. The study examines the impact of occupational status, age and gender differences on the level of reported distress.