Report
Dealing with a Missing Sensor in a Multilabel and Multimodal Automatic Affective States Recognition System
| العنوان: | Dealing with a Missing Sensor in a Multilabel and Multimodal Automatic Affective States Recognition System |
|---|---|
| المؤلفون: | Tivas, JJ, Orihuela-Espina, F, Sucar, LE, Berthouze, N |
| المصدر: | In: (Proceedings) Affective Computing and Intelligenet Interaction. (2021) (In press). |
| بيانات النشر: | Affective Computing and Intelligenet Interaction |
| سنة النشر: | 2021 |
| المجموعة: | University College London: UCL Discovery |
| مصطلحات موضوعية: | automatic affective states recognition, missing sensor, multilabel classification, classifier chains, multimodal classification, fingers pressure, hand movements, facial expressions, virtual rehabilitation |
| الوصف: | Data from multiple sensors can boost the automatic recognition of multiple affective states in a multilabel and multimodal recognition system. At any time, the streaming from any of the contributing sensors can be missing. This work proposes a method for dealing with a missing sensor in a multilabel and multimodal automatic affective states recognition system. The proposed method, called Hot Deck using Conditional Probability Tables (HD-CPT), is incorporated into a multimodal affective state recognition system for compensating the loss of a sensor using the recorded historical information of the sensor and its interaction with the other available sensors. In this work, we consider a multilabel classifier, named Circular Classifier Chain, for the automatic recognition of four states: tiredness, anxiety, pain, and engagement; combined with a multimodal classifier based on three sensors: fingers pressure, hand movements, and facial expressions; which was adapted for coping with the problem of a missing sensor in a virtual rehabilitation platform for post-stroke patients. A dataset of five post-stroke patients who attended ten longitudinal rehabilitation sessions was used for the evaluation. The inclusion of HD-CPT compensated for the loss of one sensor with results above those obtained with only the remaining sensors available. HD-CPT prevents the system from collapsing when a sensor fails, providing continuity of operation with results that attenuate the loss of the sensor. The proposed method HD-CPT can provide robustness for the naturalistic everyday use of an affective states recognition system. |
| نوع الوثيقة: | report |
| وصف الملف: | text |
| اللغة: | English |
| Relation: | https://discovery.ucl.ac.uk/id/eprint/10136734/1/ACII21Joel-Accepted.pdf; https://discovery.ucl.ac.uk/id/eprint/10136734/ |
| الاتاحة: | https://discovery.ucl.ac.uk/id/eprint/10136734/1/ACII21Joel-Accepted.pdf https://discovery.ucl.ac.uk/id/eprint/10136734/ |
| Rights: | open |
| رقم الانضمام: | edsbas.DE45C05D |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |