Utilising the triboelectricity of the human body for human-computer interactions

Zhang, Renyun; Hummelgård, Magnus; Örtegren, Jonas; Olsen, Martin; Andersson, Henrik; Yang, Ya; Olin, Håkan; Wang, Zhong Lin

doi:10.1016/j.nanoen.2022.107503

Cited by 19 publications

(8 citation statements)

References 35 publications

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“…The surface charge engineering or electrification of PZT using hair based on the difference between their triboelectric properties [ 47 , 55 , 56 , 57 ] was characterized by using a triboelectric nanogenerator (TENG). PZT and hair stacks were attached to Cu electrodes for constructing the TENG (Figure S3 , Supporting Information).…”

Section: Methodsmentioning

confidence: 99%

Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection

Dutta,

Niu,

Abdullah

et al. 2024

Advanced Science

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Communication with hand gestures plays a significant role in human‐computer interaction by providing an intuitive and natural way for humans to communicate with machines. Ultrasound‐based devices have shown promising results in contactless hand gesture recognition without requiring physical contact. However, it is challenging to fabricate a densely packed wearable ultrasound array. Here, a stretchable ultrasound array is demonstrated with closely packed transducer elements fabricated using surface charge engineering between pre‐charged 1–3 Lead Zirconate Titanate (PZT) composite and thin polyimide film without using a microscope. The array exhibits excellent ultrasound properties with a wide bandwidth (≈57.1%) and high electromechanical coefficient (≈0.75). The ultrasound array can decipher gestures up to 10 cm in distance by using a contactless triboelectric module and identify materials from the time constant of the exponentially decaying impedance based on their triboelectric properties by utilizing the electrostatic induction phase. The newly proposed metric of the areal‐time constant is material‐specific and decreases monotonically from a highly positive human body (1.13 m2 s) to negatively charged polydimethylsiloxane (PDMS) (0.02 m2 s) in the triboelectric series. The capability of the closely packed ultrasound array to detect material along with hand gesture interpretation provides an additional dimension in the next‐generation human‐robot interaction.

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Section: Methodsmentioning

confidence: 99%

Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection

Dutta,

Niu,

Abdullah

et al. 2024

Advanced Science

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“…TENGs generate power through contact electrification and electrostatic induction, resulting from the interaction between electropositive and electronegative active layers. , TENGs offer numerous advantages, such as a simple structure, low cost, ease of manufacturing, lightweight nature, and enhanced mechanical stability. They have been employed in a diverse array of applications, including blue energy collection, , self-driven physical sensors, , cell stimulation, , drug delivery, , human–computer interaction, , and artificial intelligence-driven big data analysis . However, the majority of TENGs developed thus far utilize materials with a low effective contact surface area and limited compatibility with fabrics, restricting their versatility and applicability in wearable electronics.…”

Section: Introductionmentioning

confidence: 99%

Self-Repairing and Energy-Harvesting Triboelectric Sensor for Tracking Limb Motion and Identifying Breathing Patterns

Meena

Khanh

Jung

et al. 2023

ACS Appl. Mater. Interfaces

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The increasing prevalence of health problems stemming from sedentary lifestyles and evolving workplace cultures has placed a substantial burden on healthcare systems. Consequently, remote health wearable monitoring systems have emerged as essential tools to track individuals' health and wellbeing. Self-powered triboelectric nanogenerators (TENGs) have exhibited significant potential for use as emerging detection devices capable of recognizing body movements and monitoring breathing patterns. However, several challenges remain to be addressed in order to fulfill the requirements for self-healing ability, air permeability, energy harvesting, and suitable sensing materials. These materials must possess high flexibility, be lightweight, and have excellent triboelectric charging effects in both electropositive and electronegative layers. In this work, we investigated selfhealable electrospun polybutadiene-based urethane (PBU) as a positive triboelectric layer and titanium carbide (Ti 3 C 2 T x ) MXene as a negative triboelectric layer for the fabrication of an energy-harvesting TENG device. PBU consists of maleimide and furfuryl components as well as hydrogen bonds that trigger the Diels−Alder reaction, contributing to its self-healing properties. Moreover, this urethane incorporates a multitude of carbonyl and amine groups, which create dipole moments in both the stiff and the flexible segments of the polymer. This characteristic positively influences the triboelectric qualities of PBU by facilitating electron transfer between contacting materials, ultimately resulting in high output performance. We employed this device for sensing applications to monitor human motion and breathing pattern recognition. The soft and fibrous-structured TENG generates a high and stable opencircuit voltage of up to 30 V and a short-circuit current of 4 μA at an operation frequency of 4.0 Hz, demonstrating remarkable cyclic stability. A significant feature of our TENG is its self-healing ability, which allows for the restoration of its functionality and performance after sustaining damage. This characteristic has been achieved through the utilization of the self-healable PBU fibers, which can be repaired via a simple vapor solvent method. This innovative approach enables the TENG device to maintain optimal performance and continue functioning effectively even after multiple uses. After integration with a rectifier, the TENG can charge various capacitors and power 120 LEDs. Moreover, we employed the TENG as a self-powered active motion sensor, attaching it to the human body to monitor various body movements for energy-harvesting and sensing purposes. Additionally, the device demonstrates the capability to recognize breathing patterns in real time, offering valuable insights into an individual's respiratory health.

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“… 32 , 33 , 34 , 35 , 36 , 37 , 38 In fact, TENG-based sensors have been widely used in wearable devices. 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 In the field of soft robots, they are attracting more and more attention and many structures have been proposed in recent years. 49 , 50 , 51 By integrating a TENG on different parts of the soft robot, e.g., front, 52 bottom, 53 or even the chamber, 13 electrical outputs can be generated from a single stimulus input, thus realizing the function of detecting obstacle, 52 location, 54 , 55 curvature, 49 or even humidity.…”

Section: Introductionmentioning

confidence: 99%

Intelligent soft robotic fingers with multi-modality perception ability

Wu¹,

Deng²,

Sun³

et al. 2023

iScience

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Utilising the triboelectricity of the human body for human-computer interactions

Cited by 19 publications

References 35 publications

Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection

Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection

Self-Repairing and Energy-Harvesting Triboelectric Sensor for Tracking Limb Motion and Identifying Breathing Patterns

Intelligent soft robotic fingers with multi-modality perception ability

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