Two-Dimensional Emotion Evaluation with Multiple Physiological Signals

Zhuang, Jyun-Rong; Guan, Ya Jing; Nagayoshi, Hayato; Yuge, Louis; Lee, Hee Hyol; Tanaka, Eiichiro

doi:10.1007/978-3-319-94944-4_18

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…The results showed that the ECG signal was the best in emotion classification, and fusion of all signals could provide the most effective emotion identification. Zhuang et al [79] developed a novel approach for valence-arousal model emotion assessment with multiple physiological signals to determine human emotional states using various algorithms. It was found that the deep neural network approach could precisely identify human emotional states.…”

Section: Multiple Physiological Signalsmentioning

confidence: 99%

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

Lin

2023

Applied Sciences

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People’s emotions play an important part in our daily life and can not only reflect psychological and physical states, but also play a vital role in people’s communication, cognition and decision-making. Variations in people’s emotions induced by external conditions are accompanied by variations in physiological signals that can be measured and identified. People’s psychological signals are mainly measured with electroencephalograms (EEGs), electrodermal activity (EDA), electrocardiograms (ECGs), electromyography (EMG), pulse waves, etc. EEG signals are a comprehensive embodiment of the operation of numerous neurons in the cerebral cortex and can immediately express brain activity. EDA measures the electrical features of skin through skin conductance response, skin potential, skin conductance level or skin potential response. ECG technology uses an electrocardiograph to record changes in electrical activity in each cardiac cycle of the heart from the body surface. EMG is a technique that uses electronic instruments to evaluate and record the electrical activity of muscles, which is usually referred to as myoelectric activity. EEG, EDA, ECG and EMG have been widely used to recognize and judge people’s emotions in various situations. Different physiological signals have their own characteristics and are suitable for different occasions. Therefore, a review of the research work and application of emotion recognition and judgment based on the four physiological signals mentioned above is offered. The content covers the technologies adopted, the objects of application and the effects achieved. Finally, the application scenarios for different physiological signals are compared, and issues for attention are explored to provide reference and a basis for further investigation.

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Section: Multiple Physiological Signalsmentioning

confidence: 99%

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

Lin

2023

Applied Sciences

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“…Originally conceived in 2009 as a device to ease the heavy work involved in nursing care support, the device has been expanded since 2015 to provide exercise-assistive medical devices for patients who suffer from spinal cord injuries, traumatic brain injuries, cerebrovascular diseases, diseases of the brain, and neuromuscular system disorders (Nordrum 2019). In 2015, one venture company developed and provided a walk-assist robot to support ankle dorsiflexion to stretch the gastrocnemius muscle in the back part of the lower leg, inducing reflex muscle contraction of the knee and hip joints to produce smooth forward steps (Tanaka et al 2017;Zhuang et al 2019). A nonpowered gait-assist suit based on passive walking has also been on the market (in Japan only) since 2015 (Sano 2017).…”

Section: Japanese Innovations In Modern Historymentioning

confidence: 99%

An Acquaintance with An Aging Society

Yamada

2019

Social Sciences

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Low birth rates and higher life expectancy have been ravaging Japanese society. This article summarizes some of the latest medical knowledge and assistive activities, with a nod toward one nonprofit organization’s efforts to deliver better home healthcare to the elderly through housing and technologies, in the world’s first super-aging society. The response to the transforming society requires a combination of familiar customs and new technologies that create a favorable environment for mobility and continuous learning that are key to elderly health. As other countries will face similar issues, further international interdisciplinary knowledge-building will be necessary to face the challenges of super-aging societies.

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“…To address this, we created a compact assistive device using a flexible shaft . Additionally, it is able to provide emotional support (Tanaka et al, 2017) with later developed real -time emotion recognition system for controlling the device (Zhuang et al, 2019). The compact motor-driven assistive device, RE-Gait® (Nakagawa et al, 2021), and its subsequent research variant, RE-Gait Light, integrate motor and pressure sensors to facilitate the gait cycle for individuals unable to perform desired lower limb movements or enhance stride strength.…”

Section: Introductionmentioning

confidence: 99%

Development of a motorless walking assistive device for foot flexions with instant torque output in gait cycle

WU,

IDE,

OSAWA

et al. 2023

JAMDSM

Self Cite

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With its low birthrate, Japan currently faces an aging issue. As the senior population gradually increases, applying moderate daily exercise has been widely accepted as a key to ease the incidence of life-related diseases, such as cerebrovascular disease that leads to severe aftermath by causing unhealthy gait posture. An already productized active assistive device named RE-Gait ® uses a motor and pressure sensors to detect the force varying from forefoot to heel in walking, thereby aiding both plantarflexion and dorsiflexion for people who are unable to freely control their lower limbs. Corresponding torque output depending on individual physical conditions can be customized from physiotherapist's site. By contrast, considering a larger torque production with short delay time and less weight, replacing the motor with springs is appropriate. Furthermore, given that the target user includes senior and able-bodied people who possess muscle functionalities, the proposed device reduces the amount of time spent on learning to maneuver the battery-powered type and allows them to walk freely with less concerns on adjusting parameters and battery level. Therefore, the full mechanical types appear to be appropriate. By implementing the ratchet-pawl combination, the necessary energy source used for driving the assistance can be obtained from the body weight. With the pair of mechanical pressure sensors that can store and release the body weight energy, assistance on the foot can be enhanced at each anticipated stage. Four sets of experiments, including Motion Capture to verify the ankle angle variation and electromyography (EMG) to muscle activities, are used to verify the effectiveness of the mechanical walking assistive device. Results show that the device effectively offers assistance to both plantarflexion and dorsiflexion. Comparison with and without attaching the device and trajectories from Motion Capture are all increased. Furthermore, compared with the percentage of maximum voluntary contraction (%MVC) for muscle acquired by EMG, the muscle activities clearly decline. The device effectively provide assistance to foot flexions.

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Two-Dimensional Emotion Evaluation with Multiple Physiological Signals

Cited by 13 publications

References 7 publications

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

An Acquaintance with An Aging Society

Development of a motorless walking assistive device for foot flexions with instant torque output in gait cycle

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