Emotional State Classification in Patient–Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection

Swangnetr, Manida; Kaber, David B.

doi:10.1109/tsmca.2012.2210408

Cited by 97 publications

(58 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some limitations of our study are consistent with other studies mentioned in this review [68,88,90,91,94] and are worth being highlighted. First, the small sample size of this study could preclude the generalizability of our results.…”

Section: Summary and Discussion Of Results Of The Studysupporting

confidence: 88%

“…Psychophysiological measures and their detection: Cardiovascular, electrodermal, electromyography and brain activity are widely employed in the studies of this review and their results are in line with previous studies on physiology of emotion [11,35], confirming that electrodermal (GSR) and cardiovascular (HR) measures are the most commonly assessed indices of ANS activation and of stimulus valence and arousal activation [14,90,106,107]. Consequently, it is recommended to refer mainly to cardiovascular and electrodermal variables in order to obtain an autonomic assessment.…”

Section: Some Lessons Learned From the Literaturesupporting

confidence: 84%

“…Recently, Swangnetr and Kaber [90] recruited 24 participants at a senior center in order to evaluate the relationship between physiological response and emotional states, and to develop a machine-learning algorithm for their accurate classification. Heart Rate (HR) and electrodermal activity were collected during a simulated medicine delivery experiment in which participants interacted with a PeopleBot robot.…”

Section: Psychophysiological Studies Evaluating Humans' Response To Rmentioning

confidence: 99%

See 2 more Smart Citations

Psychophysiological Methods to Evaluate User’s Response in Human Robot Interaction: A Review and Feasibility Study

2013

View full text Add to dashboard Cite

Implementing psychophysiological measures is a worthwhile approach for understanding human reaction to robot presence in terms of individual emotional state. This paper reviews the suitability of using psychophysiological assessment in human-robot interaction (HRI) research. A review of most common psychophysiological parameters used in a controlled laboratory setting is provided and advantages and challenges of their utilization in HRI experiments are described. Exemplar studies focused on the implementation of psychophysiological measures for the evaluation of the emotional responses of the participants to the robots' presence are described. Based on the reviewed literature, the paper also describes the results of our own research experience to make the most of the emerged recommendations. We planned and performed a study aimed at implementing psychophysiological measurements for assessing the human response of two groups of older adults (Healthy vs. Mild Cognitive Impairment subjects) towards a telepresence robot. Finally, the paper provides a summary of lessons learned across the field in using psychophysiological measures in HRI studies.

show abstract

Section: Summary and Discussion Of Results Of The Studysupporting

confidence: 88%

Section: Some Lessons Learned From the Literaturesupporting

confidence: 84%

Section: Psychophysiological Studies Evaluating Humans' Response To Rmentioning

confidence: 99%

See 1 more Smart Citation

Psychophysiological Methods to Evaluate User’s Response in Human Robot Interaction: A Review and Feasibility Study

2013

View full text Add to dashboard Cite

show abstract

“…Edge devices that gather timely data of the patient, allow healthcare providers to remotely monitor, assist and if possible provide medication to those patients for whom it may not be feasible to meet their healthcare provider [39]. Robotics in healthcare is mostly seen in literature and there is little widely in practice today [40][41][42] [43]. IoT and robotics solutions can deployed to provide assistance to disabled, elderly patients and those with locomotory issues [44] [45].…”

Section: A Healthcare Applicationsmentioning

confidence: 99%

IoT and Robotics: a synergy

Chowdhury¹

2017

Preprint

View full text Add to dashboard Cite

Abstract-The Internet of Robotic Things (IoRT) [9] is a concept first introduced by Dan Kara at ABI Research, which talks about augmenting the existing IoT with active sensorization; thereby, opening the doors to novel business ideas, at the intersection of both IoT and Robotics. This position paper considers the synergy between IoT and robotics: it talks about the technologies in IoT that would benefit the robotics domain. The advent of Cloud Robotics and its role in aiding robot functions like sensing, manipulation, and mobility. The paper then discusses the ways in which robots can extend the capabilities of existing IoT infrastructure by acting as a special class of edge device. IoT-aided robotic applications are discussed in various domains like health-care, military, industrial plants and rescue operations. The paper concludes by considering the use case of an Intelligent Transportation System endowed by an IoRT-inspired architecture.

show abstract

“…Reducing these types of humandependent activities will, more importantly, allow human nurses to focus on direct human caring relationships and nursing care for these patients. Furthermore, healthcare robot research is urgently needed to focus on developing new computational algorithms for determining accurate patient emotional state classification in interactions between human and intelligent machine relations with healthcare robots during health care services [8].…”

Section: Introductionmentioning

confidence: 99%

The Development of the Transactive Relationship Theory of Nursing (TRETON): A Nursing Engagement Model for Persons and Humanoid Nursing Robots

Tanioka¹

2017

Int J Nurs Clin Pract

View full text Add to dashboard Cite

Background: Precise nursing actions assure quality human health care. However, such actions are often identified as low-level health care work thereby delegated as tasks that only need completion. With the Japanese elderly population increasing at a phenomenal rate, these types of nursing actions are critically demanded. As a health care practice problem leading to labor shortages in health care settings specifically among nurses and direct health caregivers, Japan has made a national commitment focused on developing healthcare robots to respond to the nursing care demands of the older adult population. Transactive relationships are necessary in human and robot nurse-patient interactions. How will human persons and humanoid nursing robots (HNRs) relate with each other? Research on robots assisting patient care is needed to reduce human-dependent activities thereby sanctioning human nurses' focus on direct human caring relationships. Aim: The purpose of this paper is to describe the development of the Transactive Relationship Theory of Nursing (TRETON) for nursing engagements between HNRs and human persons. Methods: Theory development and Systematic Review of Literature focused on the phenomenon of healthcare engagements, humanoid robots, and nursing practice. Specifically, the metaparadigms of Nursing provided the procedural theoretical structures. Results/Findings: The TRETON is the product of theory development. Nursing encounters between humanoid nursing robots and human persons in transactive interactions were described within the metaparadigms of person, nursing, environment, and health. Conclusion:The TRETON is a middle-range theory of nursing guiding nursing practice focused on the relationship between human persons and humanoid nursing robots. It endorses two critical nursing questions, i.e., if the nature of HNRs is to assume human caring practices to promote human health and well-being, will this nature matter to nursing care of human persons? What will engender the nature of the transaction between human persons and HNRs in 21st century ontology of nursing? Original ArticleOpen Access IntroductionThe aging population in Japan has increased and continues to increase at a phenomenal rate unequaled in any other country [1]. This phenomenon signifies that the population of older persons and in particular those with dementia are also continually increasing. It is predicted that by the year 2025, one out of every ten older adults will suffer from dementia [2]. In addition, the declining birth rate associated with the aging society has similarly contributed to this changing population demographic structure [3].Also, while the aging population is increasing, the working-age group has not caught up with the trend. This situation has expectedly become a serious social problem, leading to labor shortages, particularly within health care settings. Reacting to this phenomenon, Japan has made a national commitment focused on the development of healthcare robots especially for the older adult population [4]...

show abstract

Emotional State Classification in Patient–Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection

Cited by 97 publications

References 33 publications

Psychophysiological Methods to Evaluate User’s Response in Human Robot Interaction: A Review and Feasibility Study

Psychophysiological Methods to Evaluate User’s Response in Human Robot Interaction: A Review and Feasibility Study

IoT and Robotics: a synergy

The Development of the Transactive Relationship Theory of Nursing (TRETON): A Nursing Engagement Model for Persons and Humanoid Nursing Robots

Contact Info

Product

Resources

About