Distinguishing Levels of Challenge from Physiological Signals for the Robot-Assisted Rehabilitation System, RehabRoby

Date

2017-05-03

Author

Palaska, Yunus
Erdogan, Huseyin
Ekenel, Hazım Kemal
MAŞAZADE, ENGİN
EROL BARKANA, DUYGUN

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

112
views

0
downloads

Investigation into robot-assisted rehabilitation systems, and robot-assisted systems that are capable of detecting and then modifying the rehabilitation task to have gained momentum in recent years. In this paper, our aim is to distinguish whether the subject is under-challenged or over-challenged using psychophysiological signal data collected from biofeedback sensors while executing the tasks with RehabRoby. Initially, features are extracted from the physiological signals (Blood Volume Pulse (BVP), Skin Conductance (SC), and Skin Temperature (ST)). The extracted features are examined in terms of their contribution to the classification of the overstressed/over-challenged, boredom/under-challenged using variance analysis (ANOVA). The most significant features are selected, and various classification methods are used to classify overstressed/over-challenged, boredom/under-challenged.

Subject Keywords

Emotion Recognition, Robot-assisted Rehabilitation, Biofeedback Sensor, Classification

URI

https://hdl.handle.net/11511/67961

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

A smart couch design for improving the quality of life of the patients with cognitive diseases Bi̇li̇şsel rahatsizliklari olan ki̇şi̇ leri̇n yaşam kali̇tesi̇ni̇ artirmak i̇çi̇n akilli bi̇r koltuk tasarimi Ertan, Halil; Alemdar, Hande; Incel, Özlem Durmaz; Ersoy, Cem (2012-07-09) In this paper, we focus on the human activity recognition module of a homecare system that consists of wireless sensors developed for remotely monitoring patients with cognitive disorders, such as Alzheimer. To this end, as an initial study, we designed a smart couch that is equipped with accelerometer, vibration and force resistive sensors to monitor how much time people spend while sitting, lying or napping on the couch and to recognize the drifts from their daily routines. In order to distinguish these a...
Effect of orientation map accuracy on fingerprint classification using PCA-MSOM Erol, Ali; Halıcı, Uğur (2000-01-01) Fingerprint classification forms an important problem to be solved in identification system and there are various approaches for the solution. In any pattern classification system the most important part is the feature extraction process. For fingerprints orientation map forms the most common and promising feature to be used for classification. In this paper two different orientation map extraction algorithm are compared to find the one that gives the most reliable features for the PCA-MSOM classifier.
DERIVATION OF PRESCRIPTIVE ACCIDENT PREVENTION MODEL FROM PREDICTIVE MODELS USING ML ALGORITHMS Mammadov, Ahmad; Tokdemir, Onur Behzat; Department of Civil Engineering (2021-12-2) The main drive upon which this study relies is to introduce a prescriptive accident prevention model to avoid work related accidents by predicting outcomes of work-related accidents in pipeline construction with using machine learning algorithms. In depth study on construction accidents is crucial due to construction being one of the most hazardous industry and being temporary in nature. To come up with a prescriptive accident prevention model, all incident reports from a pipeline project were analysed and ...
Pavement Crack Detection Using Unmanned Air Vehicles Pekcan, Onur; Ersöz, Ahmet Bahaddin (null; 2016-01-10) Pavement condition assessment is an essential piece of modern pavement management systems as rehabilitation strategies are planned based upon its outcomes. For proper evaluation of existing pavements, they must be continuously and effectively monitored using practical means. Conventionally, truck-based pavement monitoring systems have been in-use in assessing the remaining life of in-service pavements. Although such systems produce accurate results, their use can be expensive and data processing can be time...
Finding anchoring analogies to help students’ misconceptions in physics Yılmaz, Serkan; Eryılmaz, Ali; Department of Secondary Science and Mathematics Education (2007) The first purpose was to develop a diagnostic test to investigate new anchoring and bridging analogies. Second one was to compare the effects of bridging analogies based instruction (BABI) versus traditional teaching method (TTM) on sophomore students’ misconceptions in Newton’s Third Law (NTL). An Anchoring Analogy Diagnostic Test (AADT), Newton’s Third Law Misconception Test (NTLMT), and Attitude Scale toward Newton’s Third Law (ASNTL) were used as measuring tools. Unlike single analogies in each step as ...

Citation Formats

Y. Palaska, H. Erdogan, H. K. Ekenel, E. MAŞAZADE, and D. EROL BARKANA, “Distinguishing Levels of Challenge from Physiological Signals for the Robot-Assisted Rehabilitation System, RehabRoby,” 2017, p. 0, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67961.