"FaceLight"

Anzengruber, Bernhard; Riener, Andreas

doi:10.1145/2390256.2390292

Cited by 11 publications

(1 citation statement)

References 20 publications

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“…Experiments on using Thermal imaging for inferring stress indicate a relationship between an increase of workload and thermal emissions (Anzengruber and Riener, 2012). Zhou et al (2019) used a wearable thermal sensor and found that it can be possible to use such a system for estimating mental workload.…”

Section: Thermal Emissionmentioning

confidence: 99%

Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results

Jonell

Moëll

Håkansson

et al. 2021

Front. Comput. Sci.

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Non-invasive automatic screening for Alzheimer’s disease has the potential to improve diagnostic accuracy while lowering healthcare costs. Previous research has shown that patterns in speech, language, gaze, and drawing can help detect early signs of cognitive decline. In this paper, we describe a highly multimodal system for unobtrusively capturing data during real clinical interviews conducted as part of cognitive assessments for Alzheimer’s disease. The system uses nine different sensor devices (smartphones, a tablet, an eye tracker, a microphone array, and a wristband) to record interaction data during a specialist’s first clinical interview with a patient, and is currently in use at Karolinska University Hospital in Stockholm, Sweden. Furthermore, complementary information in the form of brain imaging, psychological tests, speech therapist assessment, and clinical meta-data is also available for each patient. We detail our data-collection and analysis procedure and present preliminary findings that relate measures extracted from the multimodal recordings to clinical assessments and established biomarkers, based on data from 25 patients gathered thus far. Our findings demonstrate feasibility for our proposed methodology and indicate that the collected data can be used to improve clinical assessments of early dementia.

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Section: Thermal Emissionmentioning

confidence: 99%