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General session: Sensors and multi-modal measurements
Schedule: Friday 20th May 2022 11:00 - 15:15 CET Virtual Room 1
Session chair: Charelle Bottenheft.
11:00-11:15 Understanding the effects of sleep deprivation and acute social stress on cognitive performance using a comprehensive approach.
Charelle Bottenheft. TNO Soesterberg, The Netherlands.
This study examined how sleep deprivation (SD) and acute social stress affect cognitive performance in isolation and in combination, and used a comprehensive approach to find evidence for a (shared) mechanism in humans.
11:15-11:30 Quantifying Interactions between Physiological Signals to Identify Exposure to Different Chemicals.
Anne-Marie Brouwer. TNO Soesterberg, The Netherlands.
To support automatic, early detection of exposure to chemicals, we quantified interactions between physiological parameters under conditions of no exposure, exposure to fentanyl and to VX using Granger causality.
11:30-11:45 Pupil Diameter to estimate Sense of Embodiment.
Sara Falcone, Zhang Liang, Gwenn Englebienne, Dirk Heylen, University of Twente, The Netherlands.
Anne-Marie Brouwer, Ioana Cocu, Ivo Stuldreher, Martijn van der Heuvel, Peter de Vries, Kaj Gijsbertse. TNO Soesterberg, The Netherlands
We investigated pupil diameter as a novel way to estimate the Sense of Embodiment, namely the ensemble of sensations that arise in conjunction with controlling a surrogate body or effector (such as a robotic device, a virtual avatar, or a mannequin).
11:45-12:00 Recognition of Basic Gesture Components using Body Attached Bending Sensors.
Dominik Krumm. Alexandra Zenner, Giuseppe Sanseverino, Stephan Odenwald, Chemnitz University of Technology, Germany.
A novel body-attached sensor system based on bending sensors to recognize basic gesture components was developed. By means of a body-attached sensor system a large amount of properly annotated data can be generated and serve as a basis for AI.
12:00 - 13:00 Break
13:00-13:15 A Distance–Based Classification Method to Assess Frontal Behavior from Human Behavioral Sensing.
Bénédicte Batrancourt. Sorbonne University, Paris, France
The frontal portion of the brain, and particularly the prefontal cortex are a component of the cerebral system that supports goal-directed behaviors, and behavioral adaptation to complex or new situations. We developed a novel distance-based classification method for identifying behavioral signatures from video and wearable sensor-based data (behavioral sensing) to assess frontal behavior symptoms and especially apathy.
13:15-13:30 Multi-modal assessment of the behavioral markers of apathy under real-life context - Towards a telemonitoring instrument of patient-caregiver couples’ psychological health.
Godefroy Valérie, Lara Miggliaccio Raffaella, Richard Levy, Bénédicte Batrancourt. Institut du Cerveau et de la Moelle Epinière, Paris, France.
Apathy is a ubiquitous neuropsychiatric syndrome presenting a highly debilitating impact for patients and caregivers. ECOCAPTURE@HOME study aims at designing a tool for the remote monitoring of patients with apathy along with their spouse caregiver.
13:30-13:45 Optimal subgroup identification in a P300-based collaborative Brain-Computer Interface.
Luigi Bianchi. University of Rome, Italy
Collaborative Brain-Computer Interfaces, which are systems designed for integrating brain signals from a group of users, show premises to enhance group decisions. Research on collaborative BCI explore three different yet complementary aspects underlying a group decision: (i) how to combine brain activity of group members to enhance group decision in both accuracy and communication speed, (ii) how accuracy and communication speed change according to group size, and (iii) are there subjects that would be better to remove or that are fundamental to improve group performance?
14:15-14:30 Setup for Multimodal Human Stress Dataset Collection.
Bhargavi Mahesh, Nadine Lang, Nicolas Rohleder, Andreas Foltyn, Bominik Weber & Jens-Uwe Garbas. Fraunhofer Institute for Integrated Circuits IIS.
The highly subjective nature of stress manifestation is a challenge to identify characteristic stress responses. The dataset to study stress response should be multimodal and interdisciplinary. Therefore, we describe a setup to collect such a dataset
Assessing disinhibition behaviour in behavioural variant frontotemporal dementia patients using ecological, cognitive and anatomical tasks.
Delphine Tanguy. Institut du Cerveau et de la Moelle, Paris, France
The aim of our study is two-folded: first, to identify a signature of inhibition troubles on a behavioural and cognitive plan, characterising different bvFTD subtypes, in order to generate new clinical tools to assess these symptoms, and second, to study the neuronal networks associated with the different subtypes of disinhibition in bvFTD patients.
14:45-15:00 Feasibility study of magnetoencephalographic inter-subject synchrony during music listening.
Nattapong Thammasan, University of Twente, The Netherlands
Ayaka Uesaka, Tsukasa Kimura, Ken-ichi Fukui and Masayuki Numao, Osaka University, Japan
15:00 - 15:15 Identifying Canine Posture from a Wearable Sensor: Application of Cross-Disciplinary Methods to Companion Animal Monitoring.
Jack O'Sullivan, University of Newcastle, UK.
Two strategies for postural recognition were tested in dogs; the recognition of transition events, and the direct recognition of postural states. The use of tri-axial accelerometer data for posture recognition was explored using 20 Labradors with ~10 hours of annotated accelerometer and video recordings.