Emotional and Directional Enabled Programmable Flexible Haptic Interface for Enhanced Cognition in Disabled Community
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Emotional and Directional Enabled Programmable Flexible Haptic Interface for Enhanced Cognition in Disabled Community


The advancements in tactile perception and feedback technologies have propelled the interaction between humans and the digital realm, spurring innovative applications across various fields, including virtual reality, augmented reality, disability assistance, and communication. At present, surface tactile feedback devices predominantly operate through two mechanisms: electrical stimulation and mechanical vibration. Electrical stimulation works by directly stimulating nerves with an electric current, thereby transmitting signals to the brain. Nevertheless, this approach has several drawbacks, such as inconsistent user experiences, skin discomfort, and temporary sensory desensitization. In comparison, flexible mechanical actuators convey tactile information by inducing skin deformation. This method offers greater safety and does not necessitate a close fit, thus enhancing the user's freedom of interaction with the environment. However, these actuators commonly employ flexible functional materials like dielectric elastomers and piezoelectric materials, which require kilovolt-level high-voltage power supplies for actuation. This not only poses safety hazards but also restricts the capacity to edit multi-dimensional tactile feedback information. Consequently, there is an urgent need to develop tactile feedback devices that can be driven by low voltages and possess high programmability to enable complex emotional interactions and dynamic command interactions.

Research Progress

Recently, to address this issue, the research group led by Qian Xiang from the Division of Intelligent Instruments and Equipment at Tsinghua Shenzhen International Graduate School proposed a flexible electret tactile feedback actuator based on multi-layer variable stiffness polydimethylsiloxane (PDMS) elastomers. This actuator consists of a five-layer sandwich structure (as shown in Figure 1A), including a polyethylene terephthalate (PET) encapsulation layer, an indium tin oxide (ITO) upper electrode layer, a fluorinated ethylene propylene (FEP) electret film layer, a gold electrode layer, and a PDMS stiffness regulator layer. In the group's previous work, it was found that by adjusting the parameters of a single-layer PDMS support layer, the strength and the frequency of mechanical vibrations generated by the electret actuator could be effectively controlled to encode tactile information. In this study, the group introduced the concept of variable stiffness composites by selectively changing the crosslinking density of multi-layer PDMS elastomers.

The experimental results show that the actuator has excellent output characteristics, achieving: (a) ultra-low driven voltage, capable of generating perceivable tactile feedback force at as low as 5V drive voltage; (b) high gain, with a gain of 1.06 mN/V at 200V drive voltage and 0.98 mN/V at 35V drive voltage (as shown in Figure 2E); (c) wide frequency range, with the actuator's bandwidth ranging from 50 Hz to 450 Hz (as shown in Figure 2J), covering the main frequency range sensitive to touch.

On this basis, this research designed and implemented a six-point actuator array system. This system features a unique four-dimensional (4D) tactile programming ability, encompassing time (start, duration, and stop times of vibration), position, amplitude, and frequency (as depicted in Figure 1D). Furthermore, this research presented two application scenarios of this actuator array system.

First, the “rhythm” parameters of tactile feedback, namely the regulated frequency, vibration duration, and pause time, were correlated with the intensity of emotions. The “smoothness” parameters of tactile feedback, that is, the rate of change of amplitude, were associated with the degree of emotional pleasure. As a result, three rhythm modes (R1, R2, and R3) and four smoothness programming modes (S1, S2, S3, and S4) were obtained. Through the combination of these modes, emotional information such as “Passion,” “Nervous,” “Sadness,” and “Relaxation” can be superimposed on the dynamic output of Braille characters.(as shown in Figure 3).

Secondly, by modulating the vibration timing and amplitude levels among the points of the array, an illusory tactile sensation of flow was induced in users. The key parameters for regulation include the actuation flow direction (AFD) between two actuator units, the actuation onset time (AOT), the overlapping vibration time (OVT), and the actuation amplitude (A). Based on these, this research defines five motion directions: forward/backward, left/right, clockwise, diagonally forward, and arrival (as depicted in Figure 4).

The test results indicate that, without prior training, the system attained an average accuracy rate of 64.6% in emotional interactions. After the participants underwent the learning mode, the recognition rate increased to 95.8%. In the context of navigation interactions, the average accuracy rate for direction commands was 94.2%.

Future Prospects

Future work may focus on further enhancing the resolution of emotional coordinates to elevate the complexity and subtlety of haptic simulation. To assess real-world applicability, especially for visually impaired users, we are actively pursuing collaborations with organizations serving the blind community and planning targeted user studies. Additionally, the multi-stiffness soft elastomer materials utilized in this study can serve as packaging materials for various sensor and actuator structures. When integrated with hydrogel electronic skin, this technology holds promise for enabling a customizable pixelated interface for emotional management in wearable devices. Interdisciplinary collaboration with experts in neuroscience and psychology could further expand the technology’s potential applications in domains such as depression treatment, personalized rehabilitation, educational tools, and virtual reality—thereby contributing to the advancement of a more inclusive and barrier-free society.

Source: https://spj.science.org/doi/10.34133/research.0714

About Research by Science Partner Journal
Launched in 2018, Research is the first journal in the Science Partner Journal (SPJ) program. Research is published by the American Association for the Advancement of Science (AAAS) in association with Science and Technology Review Publishing House. Research publishes fundamental research in the life and physical sciences as well as important findings or issues in engineering and applied science. The journal publishes original research articles, reviews, perspectives, and editorials. IF = 10.7, Citescore = 13.3.

Title: Emotional and Directional Enabled Programmable Flexible Haptic Interface for Enhanced Cognition in Disabled Community
Author: Yuhan Liu, Liuyang Han, Siqi Lv, Tao Jiang, Mingkai Duan, Hanyu Guo, Yuzhen Li, Qisen Xie, Yanru Chen, [...] , and Xiang Qian
Journal: Research 3 Jun 2025 Vol 8 Article ID: 0714
DOI: 10.34133/research.0714
Attached files
  • The 4D programmable and low-voltage haptic interface based on elastomer actuators. (A) (i) Concept of a flexible haptic interface based on the low-voltage-driven elastomer actuators for human–machine interaction. (ii) Structure of the actuator prototype, including a multilayer elastomer acting as a stiffness regulator, a charged electret film, 2 electrode layers, and an insulating layer, and the schematic illustration of the actuation mechanism. (B) Performance comparison across 6 dimensions with other reported haptic interfaces. (C) Haptic interface (i) integrated with the skin on a human arm for emotional Braille application and (ii) incorporated into a cane for blind users to facilitate multidirectional haptic navigation. (D) Overview of 4D haptic modulation principles for enhancing emotional and navigational haptic feedback.
  • Characterization of the low-voltage-driven elastomer actuator. (A) Cross-sectional view of the vibration of the actuator. (B) Schematic model of the bilayer elastomer as 2 coupled second-order spring oscillators in series. (C) The theoretical results examine the amplitude ratio () of the first intrinsic frequency in relation to the stiffness ratio ( and mass ratio () between the 2 layers of elastomer. (D) Measured output force of a 1-layer, 2-layer, and 3-layer actuator under an applied driving voltages from 5 to 35 V. (E) Measured output force of three 3-layer elastomer actuator configurations with varying stiffness ratios and fixed mass ratios under driving voltages ranging from 5 to 200 V. (F) Measured damping factors for single-layer and triple-layer elastomers. (G) A cross-sectional SEM photo of the multilayer elastomer, with the 3 layers visible and solidified cured as an inseparable unit. (H) Measured output force of a prototype actuator with different charged electret film surface potentials under an applied peak-to-peak voltage of 100 V. (I) Decay of surface potential of charged electret film over time at different charging temperatures. (J) Measured output force of the selected actuator under a peak-to-peak driving voltage of 30 and 100 V using a 130 °C high-temperature charged FEP electret film, with frequency sweeps from 50 to 450 Hz.
  • Programming principles and evaluation of the output performance. (A) Optical image of arrayed flexible haptic interface. (B) System integration and circuit diagram for the actuator array. (C) Schematic of the actuator’s 4D (amplitude, frequency, time, position) programming method. (D) Comparisons of output force per applied voltage and working frequency range of other reported flexible actuators.
  • Emotional programming design for haptic interfaces. (A) Schematic of integration and interaction with the human arm in the haptic interface. (B) Design for arousal and pleasantness. The combination of frequency, vibration duration, and pause time is modulated as rhythm “R” for arousal; the combination of vibration amplitude and its rate of variation is modulated as smoothness “S” for pleasantness. (C) Emotional haptic feedback coordinate chart showing 4 emotion archetypes (“Passion”, “Nervous”, “Sadness”, “Relax”), mapped with arousal as the vertical axis and pleasantness as the horizontal axis. (D) Schematic of the (i) frequency–amplitude modulation and (ii) actuation signals of 4 emotional archetypes. (E) Confusion matrix for 12 volunteers: Percentages represent the emotions correctly identified by users for the 4 stimuli depicted in (D); the diagonal line percentages (i.e., correct responses) range (i) from 50% to 83.3% without learning mode and (ii) from 91.67% to 100% with a learning mode.
Regions: Asia, China
Keywords: Applied science, Computing, Health, Public Dialogue - health, Well being, Science, Life Sciences

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