From: Ethical perspectives on recommending digital technology for patients with mental illness
Technology | Description |
---|---|
Body language and gesture recognition | Recognition of meaningful body movements involving the fingers, hands, face, head or body (Mitra and Acharya 2007; Kleinsmith and Bianchi-Berthouze 2013) |
Facial expression analysis | Measurement and interpretation of facial expressions (Zeng et al. 2009; Sariyanidi et al. 2015) |
Facial recognition | Recognition of human faces, including if background clutter and variable image quality (Zhao et al. 2003; McPherson et al. 2016) |
Natural language processing | Automatic extraction of meaning from human languages, both text and speech, requiring ambiguity resolution (Nadkarni et al. 2011) |
Pattern recognition | Automated recognition, description, and classification of patterns, often involving statistical classification and neural networks (Jain et al. 2000) |
Sensors | Identification of emotion using physiological signals such as heart rate, breathing, skin conduction, physical activity (Calvo and D’Mello 2010; Jerritta et al. 2011; Sun et al. 2010) |
Sentiment analysis | Binary classification of subjective opinions in text such as positive versus negative, like versus dislike (Liu 2010) |
Smartphone usage patterns | Identification of mood based on measures such as number and duration of incoming/outgoing calls; outgoing text messages, app usage (LiKamWa et al. 2013; Faurholt-Jepsen et al. 2016) |
Speech emotion recognition | Recognition of the emotional content of human speech (El Ayadi et al. 2011; Zeng et al. 2009) |
Speech recognition | Identification and understanding of human speech, converting into text or commands (Meng et al. 2012; Xiong et al. 2016) |