Rendering Immersive Haptic Force Feedback via Neuromuscular Electrical Stimulation

Haptic feedback is the sensory modality to enhance the so-called “immersion”, meant as the extent to which senses are engaged by the mediated environment during virtual reality applications. However, it can be challenging to meet this requirement using conventional robotic design approaches that rel...

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Bibliographic Details
Main Authors: D’antonio, E. (Author), Galofaro, E. (Author), Lotti, N. (Author), Masia, L. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
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008 220718s2022 CNT 000 0 und d
020 |a 14248220 (ISSN) 
245 1 0 |a Rendering Immersive Haptic Force Feedback via Neuromuscular Electrical Stimulation 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/s22145069 
520 3 |a Haptic feedback is the sensory modality to enhance the so-called “immersion”, meant as the extent to which senses are engaged by the mediated environment during virtual reality applications. However, it can be challenging to meet this requirement using conventional robotic design approaches that rely on rigid mechanical systems with limited workspace and bandwidth. An alternative solution can be seen in the adoption of lightweight wearable systems equipped with Neuromuscular Electrical Stimulation (NMES): in fact, NMES offers a wide range of different forces and qualities of haptic feedback. In this study, we present an experimental setup able to enrich the virtual reality experience by employing NMES to create in the antagonists’ muscles the haptic sensation of being loaded. We developed a subject-specific biomechanical model that estimated elbow torque during object lifting to deliver suitable electrical muscle stimulations. We experimentally tested our system by exploring the differences between the implemented NMES-based haptic feedback (NMES condition), a physical lifted object (Physical condition), and a condition without haptic feedback (Visual condition) in terms of kinematic response, metabolic effort, and participants’ perception of fatigue. Our results showed that both in terms of metabolic consumption and user fatigue perception, the condition with electrical stimulation and the condition with the real weight differed significantly from the condition without any load: the implemented feedback was able to faithfully reproduce interactions with objects, suggesting its possible application in different areas such as gaming, work risk assessment simulation, and education. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a Condition 
650 0 4 |a Electrical stimulations 
650 0 4 |a Haptic feedbacks 
650 0 4 |a Haptic force 
650 0 4 |a haptics 
650 0 4 |a Haptics 
650 0 4 |a Immersive 
650 0 4 |a immersive feedback 
650 0 4 |a Immersive feedback 
650 0 4 |a kinematics 
650 0 4 |a Kinematics 
650 0 4 |a Machine design 
650 0 4 |a metabolic consumption 
650 0 4 |a Metabolic consumption 
650 0 4 |a Metabolism 
650 0 4 |a Muscle 
650 0 4 |a Neuromuscular electrical stimulation 
650 0 4 |a NMES 
650 0 4 |a Risk assessment 
650 0 4 |a Risk perception 
650 0 4 |a virtual reality 
650 0 4 |a Virtual reality 
650 0 4 |a wearable device 
650 0 4 |a Wearable devices 
650 0 4 |a Wearable technology 
700 1 |a D’antonio, E.  |e author 
700 1 |a Galofaro, E.  |e author 
700 1 |a Lotti, N.  |e author 
700 1 |a Masia, L.  |e author 
773 |t Sensors