Human Motion Detection Research Articles

Highly elastic, frost-resistant and antimicrobial flexible sensor inspired by ramen noodles for human motion detection and deep learning of handwritten content

Biomaterial-based hydrogels have gained significant attention in the development of flexible multifunctional electronic devices for the future. However, it is a great challenge to prepare biomaterial-based hydrogels with high toughness, electrical conductivity and frost-resistant by a simple and low-cost way. Meanwhile, starch bio-based hydrogels have emerged as a popular area of research due to their abundant sources and degradability. Unfortunately, these hydrogels often exhibit poor mechanical properties and freeze resistance, which restrict their practical applications. Taking inspiration from the traditional food ramen, where a simple mixture of noodles can become remarkably stretchable and resilient, our study aims to enhance the performance of hydrogels by leveraging their toughening mechanism. We achieve this by combining polyvinyl alcohol (PVA), branched chain starch (Amy), wheat protein (WP), ethylene glycol (EG) with saline. The Amy/PVA/EG/WP/S (APEWS) organohydrogels demonstrated excellent mechanical properties (1.12 MPa) due to the combination of PVA as a hard backbone, a rich protein network, diverse functional groups, and saline components. Additionally, the binary solvent consisting of water and EG allowed the hydrogel to function effectively even at low temperatures (-20 °C). The APEWS organohydrogel exhibited promising sensing capability (GF = 1.46) and sensing stability (>500 times) as a human wearable strain sensor, making it suitable for detecting human motion and the hydrogel showed excellent antimicrobial properties against Escherichia coli (Gram-negative bacteria). Furthermore, we employed a Long Short-Term Memory (LSTM) artificial neural network for deep learning-based recognition of written content. The network achieved an accuracy of over 95.5% for different English letters and 100% for symbols. These results highlight the potential of this technology in applications such as writing sensing and information encryption. In conclusion, with the simple preparation method and low cost, APEWS organohydrogels are expected to be the next generation of green and sustainable bio-based strain sensors.

Ultra-Tough and Highly Stretchable Dual-Crosslinked Eutectogel Based on Coordinated and Non-Coordinated Two Types Deep Eutectic Solvent Mixture.

Eutectogels are gaining attention in flexible device applications for their superior ionic conductivity, stability, biocompatibility, and cost-effectiveness. However, most existing eutectogels suffer from low strength and toughness. Herein, ultra-tough and highly stretchable polyacrylamide (PAM) eutectogels featuring a dual-crosslinked network comprising chemical cross-linking and physical cross-linking facilitated by metal coordination bonds and hydrogen bonds are developed. This is achieved through a controlled strategy involving polymerization of acrylamide in a coordinated metal salt-type deep eutectic solvent (DES) combined with a non-coordinated choline chloride (ChCl)-type DES mixture. By varying the molar ratio of these two types of DES, exceptional and adjustable mechanical properties of the resulting eutectogel are achieved, including a high tensile strength ranging from 2.9 to 8.2MPa and elongation at break ranging from 1725 to 747%, at a 70 wt% DES content. Furthermore, the reversible non-covalent crosslinking in these eutectogels enables self-recovery and self-healing capabilities of eutectogels. The prepared eutectogels also exhibit outstanding ionic conductivity (3.56 mS cm-1 ), making them well-suited for use as strain sensors in human motion detection. The toughening strategy is universally effective for creating tough eutectogels using coordinated metal salt-type DES with various metal ions, as well as a diverse range of coordinatable polymers.

Modulation of electronic and ionic conduction in mixed polymer conductors via additive engineering: Towards targeted applications under varying humidity

Polymer solids with mixed ion and electron transport hold great promise for next-generation organic electronics, and rational regulation of ionic/electronic contribution within these materials can enable a broadened spectrum of practical applications. However, a fundamental understanding of the conduction mechanisms and their correlations with morphological characteristics remains limited, especially under varying environmental humidity conditions. In the present work, simple additive engineering enables the effective regulation of electronic and ionic contribution in poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) based conductors, giving rising to ion- and/or electron-dominant conductions. As a demonstration, PEDOT:PSS films with different electrical characteristics are successfully applied for thermal energy harvesting, healthcare monitoring and human motion detection upon humidity exposure. Combining operando alternating current (AC) impedance spectroscopy and grazing incidence small-angle X-ray scattering at low and high humidity levels, additive-dependent charge transport mechanisms are elucidated, and correlations between morphological alterations and conductivity evolutions are revealed. This work achieves highly tailorable PEDOT:PSS conduction utilizing Zonyl, dimethyl sulfoxide (DMSO) and carbon nanotubes (CNTs) as additives with distinct humidity responses and gains an in-depth comprehension of underlying mechanisms, which are expected to pave the way for next-generation organic electronics.

Ion–electron based poly(Amm-co-BA)@GO conductive hydrogels for wearable strain sensors

Creating strain and pressure sensors based on hydrogels with excellent mechanical and conducting properties is a major problem for scientists in the fields of artificial intelligence, soft robotics, tissue engineering, human motion detection, electronic skin, etc. Therefore, in this study graphene oxide (GO) incorporated hydrophobically associated hydrogels with acrylamide (Amm) and butyl acrylate (BA) polymer segments with excellent mechanical properties, fracture strain of 1630%, and stress 551 kPa, showing good anti-fatigue resistance with five continuous cycles at 500% strain were developed. The hydrogel showed excellent strain response with conductivity of 0.246 S/m and can sense small strains of 1% to large strains of 700% with GF = 29.52 at 850% strain) and response time of 110 msec. The designed hydrogel can detect different human motions like wrest bending, elbow motion, finger at one angle as well as at different angles, puffing, and chewing different things. The hydrogel can also act as a pressure sensor and shows a clear response towards constant and uniform pressure. The prepared hydrogel behaved as an electronic pen and connected the electronic surface with human skin.

Large-scale fabrication of conductive yarn with synergistic conductive coating for high-efficient strain sensing and photothermal conversion

With the rapid development of wearable electronics, conductive yarn strain sensors have attracted much attention due to their excellent flexibility, conformability, and knittability. However, it is still a great challenge to prepare flexible conductive yarn strain sensors with high sensitivity and wide working range simultaneously. Here, a large-scale fabrication of conductive spandex yarn (SY) with synergistic conductive coating composed of lower stable carbon nanotubes (CNTs)-polyaniline (PANi) hybrid layer and upper ultrasensitive cracked PANi layer was successfully achieved via the simple solvent swelling, non-solvent-induced phase separation (NIPS), and in-situ reduction processes. Thanks to the synergistic effect of the double layered conductive coating and its tunable microstructure based on the PANi content, the assembled conductive SY strain sensor exhibits wide working range (0–321 %), high sensitivity (GF is 43, 950, and 2439 for strain range of 0–100 %, 170–270 %, and 280–321 %, respectively), ultralow detection limit (0.5 %), fast response/recovery time (140 ms/160 ms), and excellent fatigue resistance (4000 cycles). As a proof of concept, the strain sensor can be used for wearable applications to achieve the effective detection of full-range human motion and physiologic signals. Besides, it also displays great potential in human-computer interaction for reliable operation of remote-control manipulator and flexible electronic textile for spatial pressure distribution identification. Finally, owing to the excellent optical absorbing ability of PANi and CNTs, the conductive SY exhibits high-efficient and stable photothermal conversion capacity even under the stretching and bending states, endowing it with good wearing comfort. This study provides a convenient but effective strategy for the fabrication of high-performance wearable strain sensor with excellent thermal management capacity.

Synergistic strengthening of PVA ionic conductive hydrogels using aramid nanofibers and tannic acid for mechanically robust, antifreezing, water-retaining and antibacterial flexible sensors

Ion-conductive hydrogels with multi-functionality have gained significant attraction as flexible sensors in various fields such as wearable health monitoring and human motion detection, owing to their high ion conductivity, excellent flexibility and stretchability, and easy availability. In this work, multifunctional ion-conductive hydrogel with excellent mechanical properties, antifreezing properties, water retention and antibacterial performance was fabricated by the freeze–thaw crosslinking between polyvinyl alcohol (PVA) and aramid nanofibers (ANF), and the subsequent solution immersion crosslinking in a mixture of tannic acid (TA) and CaCl2 solution (DMSO/H2O as co-solvent). The rational engineering of a multi-spatial distributed hydrogen bond and Ca2+ coordination bond networks within the hydrogel led to a significant improvement in mechanical properties. Furthermore, through the introduction of TA and binary solvents (DMSO/H2O), the hydrogel had witnessed a substantial enhancement in its antimicrobial properties and water retention capacity. The resultant PAT5/CaCl2-5% (DMSO/H2O) hydrogel exhibited outstanding elongation at break (754.73%), tensile strength (6.25 MPa), electrical conductivity (3.09 S/m), which can be employed in flexible sensors to monitor real-time functional motion for human under diverse conditions. As such, this innovation opens up a novel pathway for envisioning flexible sensor devices, particularly in the realm of human activity monitoring.

Wearable real-time multi-health parameter monitoring system

PurposeThe purpose of this study is to design a wearable medical device as a human care platform and to introduce the design details, key technologies and practical implementation methods of the system.Design/methodology/approachA multi-channel data acquisition scheme based on PCI-E (rapid interconnection of peripheral components) was proposed. The flexible biosensor is integrated with the flexible data acquisition card with monitoring capability, and the embedded (device that can operate independently) chip STM32F103VET6 is used to realize the simultaneous processing of multi-channel human health parameters. The human health parameters were transferred to the upper computer LabVIEW by intelligent clothing through USB or wireless Bluetooth to complete the transmission and processing of clinical data, which facilitates the analysis of medical data.FindingsThe smart clothing provides a mobile medical cloud platform for wearable medical through cloud computing, which can continuously monitor the body's wrist movement, body temperature and perspiration for 24 h. The result shows that each channel is completely accurate to the top computer display, which can meet the expected requirements, and the wearable instant care system can be applied to healthcare.Originality/valueThe smart clothing in this study is based on the monitoring and diagnosis of textiles, and the electronic communication devices can cooperate and interact to form a wearable textile system that provides medical monitoring and prevention services to individuals in the fastest and most accurate way. Each channel of the system is precisely matched to the display screen of the host computer and meets the expected requirements. As a real-time human health protection platform technology, continuous monitoring of human vital signs can complete the application of human motion detection, medical health monitoring and human–computer interaction. Ultimately, such an intelligent garment will become an integral part of our everyday clothing.

Wireless Human Motion Monitoring by a Wearable 3D Spiral Liquid Metal Sensor with a Spinning Top‐Shaped Structure

AbstractFlexible wireless pressure sensors based on the LC resonance principle have emerged for critical applications in wearable devices. However, the challenge remains to promote the sensing performance while maintaining good wearability of the devices. Herein, a 3D spiral liquid metal sensor (3D‐SLMS) is reported with a spinning top‐shaped structure for wireless human motion detection. The device is composed of only liquid metals embedded in Ecoflex elastomer, thus being highly flexible. The study develops a unique method to fabricate 3D‐SLMS by integration of mask‐assisted spraying of liquid metals and virtual molding tuned by vacuum. Under an external load, the deformation of the spinning top‐shaped structure leads to changes in both inductance and capacitance, offering a detectable shift in the resonant frequency of the sensor. The 3D‐SLMS technology allows for a high sensitivity of −0.502 MHz N−1, a limit of detection as low as 0.71 mN, fast response time of 0.6 s, and stretchability up to 158% without device failure. As a proof‐of‐concept, the wireless pressure detection of various human motions such as arm bending, fisting, boxing, coughing, and flatfoot diagnosis is successfully implemented, thus promising translation of wearable electronics for sport monitoring and medical rehabilitation.

Flexible pressure sensor with wide pressure range based on 3D microporous PDMS/MWCNTs for human motion detection

Introducing microstructure in the flexible pressure sensors is an effective strategy to enhance the performance of the sensor. Herein, we fabricated a flexible pressure sensor with three-dimensional (3D) miroporous based on a hybrid of polydimethylsiloxane (PDMS) and multiwalled carbon nanotubes (MWCNTs). The 3D microporous was produced by a facile and low-cost process using NH4HCO3 as a sacrificial template, the NH4HCO3 particles were decomposed to gas and left microporous in the hybrid of PDMS and MWCNTs. The microporous structure inside the sensor allowed for a wide pressure range (∼140 kPa). The sensor could detect large motions of finger, wrist, elbow, knee, and even small motion such as facial expression. In addition, a 3 × 3 tactile sensor array was successfully applied in the pressure distribution of fingers to grasp a cup. The results demonstrate that the sensor is promising application in wearable electronics and human-machine interfaces for pressure sensing.

Mechanically Induced Anisotropic Fragments in Sn-Doped In2O3 Nanoparticle Films for Flexible Strain Sensing Based on Surface Plasmons.

Recently, mechanical strain sensors have been extensively developed to quantify large mechanical deformations for stretchable and wearable applications. In this study, we propose a plasmonic strain sensor based on the mechanical control of optical properties using an assembled film comprising In2O3: Sn nanoparticles (ITO NP film). The resonant reflectance in the infrared range could effectively be tuned by applying strain to the ITO NP film deposited on an elastomeric polydimethylsiloxane (PDMS) sheet. The change in reflectance was caused by the mechanical deformation of the PDMS sheet. The operating mechanism of the proposed plasmonic strain sensor was related to anisotropic fragments induced by cracks formed perpendicular to the direction of the applied strain. These anisotropic fragments were functionalized as optical modulators to change the reflectance depending on the applied strain. The sensing performance of the proposed plasmonic strain sensor was evaluated by using a PDMS sheet with a circular hole that produced nonuniform stress distributions. Finally, to evaluate the flexible and wearable performance of the proposed sensor, the optical detection of human motion was performed by detecting joint-related movements. The optical detection of human motion could be achieved because a change in motion (e.g., bending and stretching of the index finger) was reversibly associated with reflectance changes. Therefore, this study provides new insights into plasmon-based strain sensing for various applications in flexible instruments and human motion detection.

Stretchable hybrid platform‐enabled interactive perception of strain sensing and visualization

AbstractHuman–machine interactive platforms that can sense mechanical stimuli visually and digitally are highly desirable. However, most existing interactive devices cannot satisfy the demands of tactile feedback and extended integration. Inspired by the mechanoluminescence (ML) function of cephalopod skin and the sensitive perception of microcracked slit‐organs, a bioinspired stretchable interactive platform is developed by designing a stretchable poly(styrene‐block‐butadiene‐block‐styrene)/fluorescent molecule (SFM) composite followed by the in situ polymerization of pyrrole (Py) and deposition of carbon nanotubes (CNTs), which possesses a simple multilayered structure and quantitatively senses the applied strains via the variations of digital electrical resistance and visual fluorescence intensity. Using the strain‐dependent microstructures derived from the synergistic interactions of the rigid PPy/CNTs functional layer and SFM, the SFM/PPy/CNTs‐based platforms exhibit excellent strain‐sensing performance manifested by a high gauge factor (GF = 2.64 × 104), wide sensing range (~270%), fast response/recovery time (~155/195 ms), excellent stability (~15,000 cycles at 40% strain), and sensitive ML characteristics under ultraviolet illumination. Benefiting from the novel fusion of digital data and visual images, important applications, including the detection of wrist pulses and human motions, and information dual‐encryption, are demonstrated. This study demonstrates the superiority of advanced structures and materials for realizing superior applications in wearable electronics.

Microporous activated carbon filled anti-freezing hydrogels used for low-temperature applications

Self-healing and anti-freezing hydrogels have attracted great attention as their ability to work stably in harsh environments. In this manuscript, we design a dual self-healing and anti-freezing hydrogels based on functionalized microcapsules and phytic acid (PA). Based on mussel-inspired chemistry, polydopamine (PDA) is wrapped on microporous activated carbon (MAC) to obtain functional microcapsule (LO@MAC@PDA), which is loaded with linseed oil (LO). The stronger hydrogen bonds between PA and water weakens the intermolecular between water, effectively reducing the freezing point of the hydrogel and enabling the hydrogel to maintain good flexibility at −20 °C. The dual self-healing effect of LO@MAC@PDA gives the hydrogel a self-healing efficiency of 93.5% at −20 °C. The PA-LMP/PVA hydrogel is assembled into hydrogel-based flexible sensors to achieve sensitive detection of human motion at low temperatures. We expect that this simple strategy to expand the temperature range for using of hydrogel-based flexible sensors.

3D printable, stretchable, anti-freezing and rapid self-healing organogel-based sensors for human motion detection

Self-healing hydrogels have promising applications in sensors and wearable devices. However, self-healing hydrogels prepared with water as the dispersion medium inevitably freeze at sub-zero temperature, resulting in a loss of the self-healing and sensing ability. The black phosphorene / ethylene glycol / polyvinyl alcohol / sodium tetraborate / sodium alginate (BP/EG-SPB) organogels were prepared by 3D printing technology and solvent displacement method. The organogel exhibits high stretchability (1900 % strain), excellent self-healing property (25 s) and outstanding anti-freezing property (lower than −120 °C freezing point). Furthermore, the organogel can rapidly self-healed (150 s) at a low temperature (−80 °C) without any external stimulation. Additionally, this organogel-based flexible sensor possesses excellent sensitivity (gauge factor: 28.66 at 1900 % strain) and fast response capability, allowing for effective detection of human motion. This work provides a novel method for preparing multifunctional organogel-based sensors for use in harsh climates.

3D printable, anti-freezing, and rapid self-healing violet phosphorene incorporated hydrogel-based sensors for human motion detection

Conductive self-healing hydrogels, as an emerging flexible material, have been extensively studied in flexible sensors which have great application potential in the field of wearable electronic devices. However, hydrogels are prone to freezing at low temperatures, resulting in reduced or even lost flexibility, conductivity and self-healing properties. Besides, manufacturing method, processing time and cost of hydrogel-based sensors remain extremely challenging, hindering their application in complex and extreme environments. The hydrogel with excellent strain-sensing properties and outstanding anti-freezing properties was fabricated by 3D printing technology and solvent displacement method. The VP-SPB-EG hydrogel has excellent anti-freezing performance (−80 °C). In particular, this hydrogel exhibits excellent self-healing performance (120 s) at −80 °C. In addition, VP-SPB-EG hydrogel-based has high stretchability (1850 %) and sensitivity (GF: 27.82) can be used to detect strain changes caused by human joint movements. Therefore, this flexible hydrogel-based sensor has broad application prospects for wearable devices in extreme environments.

Flexible solid-state Zn-Co MOFs@MXene supercapacitors and organic ion hydrogel sensors for self-powered smart sensing applications

Stable and continuous detection of physiological signals without an external power supply is a crucial technology to realize wearable electronics as the next generation of flexible electronic devices. In this work, a self-powered smart system with flexible solid-state Zn-Co MOFs@MXene supercapacitors and polyacrylamide-BaTiO3/NaCl (PAM-BTO/NaCl) organic ionic hydrogel sensors are designed. The supercapacitor demonstrates a high energy density of 51 Wh/kg at a power density of 1.59 kW/kg. In particular, it maintains exceptional mechanical flexibility under different bending environments. The resistance change rate of the organic ionic hydrogel sensor exhibits a linear response within the strain range of 0–400 % and 400–600 %, respectively, and it shows outstanding electromechanical stability with almost unchanged performance under multiple identical tensile strains. Furthermore, the self-powered integrated system can be conveniently used for real-time detection of human motion and small strains. These findings highlight the unlimited application potential of self-powered integrated system in wearable devices.

Intelligent fiber optic integrated sensing system for human motion monitoring

In recent years, the development of flexible bend sensors and their detection devices has attracted great interest. In this paper, an intelligent wearable plastic optical fiber (POF) integrated sensing system for human motion detection is presented. The system consists of POF bend sensors and a wearable fiber bend detection meter (WFBDM). By capturing the POF array image from the video stream, it realizes a sampling frequency of 91.7 times/s. It also greatly increases the integration of multiple sensors, with an integrated sensing area of only 0.35*0.35 mm2 for a single sensor. POF bending sensors with a diameter of 0.25 mm were tested using this system with a linear range of −40° to 90°, an accuracy of up to 0.4°, and a response time of 26.2 ms. The system has been successfully applied to human joint and muscle motion monitoring, and combined with machine learning to realize the intelligent recognition of human motion state. The sensing system is small in size, large in sensing range, high in sensitivity and good in stability, and has the ability of intelligent recognition and highly integrated multi-channel bend signals sensing.

Skin-interfaced self-powered pressure and strain sensors based on fish gelatin-based hydrogel for wireless wound strain and human motion detection

Biomass-based hydrogels, due to their excellent biocompatibility, can behave as wearable monitoring platforms for healthcare applications and triboelectric sensing devices. However, low tissue adhesiveness, poor stretchability, and bacterial susceptibility cause them to fail to adapt to specific joints with complex movements. Herein, we report a novel biomass-based hydrogel by integrating fish gelatin into polymer networks with in-situ formation of silver nanoparticles (denoted as FG-Ag hydrogel), which achieves great stretchability (2600%), excellent sensitivity (gauge factor = 4), and strong self-adhesion simultaneously. The FG-Ag hydrogel also features a robust antibacterial activity for Escherichia coli and Staphylococcus aureus. Benefitting from these advantages, we have developed a FG-Ag hydrogel-based wearable strain sensor for diverse human-motion detections such as elbow, knee, finger, and wrist bending. Moreover, we have demonstrated an FG-Ag hydrogel-based prototype with an integrated wireless system for real-time strain monitoring on the wound sites. The FG-Ag hydrogel could significantly reduce bacterial infection in vivo and effectively promote wound healing. Additionally, the self-powered pressure sensor and the biomechanical energy harvester also have been demonstrated by the FG-Ag hydrogel based triboelectric nanogenerator (TENG). Accordingly, such FG assistance of hydrogel-based skin-interfaced electronics could provide adequately delicate biomechanical information related to the general health, which furnishes essential technical support for cost-effective, all-green, and highly precise personalized health assessment.

Mechanical robust and highly conductive composite hydrogel reinforced by a combination of cellulose nanofibrils/polypyrrole toward high-performance strain sensor

Although conductive and elastic materials are increasingly required for strain or stress sensing application in wearable electronic devices, it remains a great challenge to achieve outstanding and balanced mechanical performance while retaining high conductivity. Herein, the development of an ionic/electronic conductive hydrogel with mechanically robustness for strain sensors is reported. A covalently cross-linked polymer network is highly enhanced by a synergy of nano-enhancement (cellulose nanofibrils) and dynamic interactions containing hydrogen bonding and ionic coordination, which is used to support the mechanical structure of the hydrogel. By decorating with polypyrrole molecules via Fe3+ induced in-situ polymerization, the integrity of network structure is further improved by constructing physical interactions and chain entanglement. Therefore, compared to virgin poly(acrylamide-co-acrylic acid) hydrogel, the obtained hydrogel exhibits prominent mechanical performance containing high tensile strength (2.54 MPa) and ultra-high toughness (17.71 MJ m−3) along with remarkable stretchability (925%). Apart from Establishing a fair balance among mechanical parameters, a hybrid conductive path composed of ionic and electronic mechanism is also constructed simultaneously that results in an improved conductivity (995 mS m−1), wide working range (≈873%) and high sensitivity (maximum gauge factor: 25.6). Thus, the combination of outstanding mechanical performance and sensitive strain response makes the conductive hydrogel prepared herein apply for mechanically reliable and flexible strain sensor that can monitor diverse mechanical deformation (e.g., human joint movement) reflected by real-time resistance variation. Clearly, this work provides a new perspective for the design and fabrication of advanced gel-based materials aiming at high performance in human motion detection.

Stretchable conductive Janus hydrogel with controllable porous structures for high‐performance strain sensing

AbstractA stretchable conductive Janus hydrogel with controllable porous structures is developed for highly sensitive monitoring of human motion. The Janus porous structure of the hydrogel is fabricated using patterned single‐layer droplets produced by microfluidics as pore‐forming templates. The hydrogel possess dual‐crosslinked polymeric networks to achieve good stretchability (480%), which allows fully cover the stretching range of human skin (usually <200%). Meanwhile, the hydrogel possess controllable Janus porous structures with local strain/stress enhancement to achieve high sensitivity (GF = 5.2) for strain‐sensing. The Janus hydrogel shows fast response for stretching (175 ms) and recovery (170 ms), and good durability (200 cycles at 50% strain). The conductive Janus hydrogel with high sensitivity and good mechanical properties are promising for developing soft wearable sensors in fields such as human health monitoring and human motion detection.

Polydopamine functionalized stellate mesoporous silica using mussel inspired chemistry for ultrastretchable, conductive and self-healing hydrogel on wearable strain sensors

Conductive hydrogels hold great promise in wearable strain sensor for human motion detection. Nevertheless, the poor mechanical properties, inferior sensitivity and the deficiency of multifunctionalities of conventional hydrogels tremendously constrain their applications. Herein, inspired by mussel chemistry, polydopamine (PDA) and Au nanoparticles (Au NPs) were used to modify stellate mesoporous silica (STMS), which could provide conductivity and multiple non-covalent interactions. The synthesized STMS@PDA-Au NPs were further used to prepare composite polyacrylic acid (PAA) hydrogel (STMS@PDA-Au NPs/PAA) by a one-pot strategy for the application of motion sensors. The resulting hydrogel exhibited satisfactory stretchability (663%), remarkable tensile strength (2.18 MPa), high sensitivity (Gauge Factor = 2.86) and distinguished self-healing properties (90.8%), which are believed to be contributed by the existence of coordination complexations and multiple hydrogen-bonding interactions in the hydrogel network. Additionally, with a rapid dynamic response time (180 ms) and fatigue resistance, this work provides useful insights as a wearable sensor for epidermal sensing applications.