Cagatay Gumus

Wearable electronics are transforming human–computer interaction by offering greater flexibility and intuitive control. This study introduces a dynamic area‐based capacitive textile sensor that functions as a wearable interface for remote device control. Instead of relying on discrete button presses, the system uses dynamic capacitance modulation, enabling users to adjust both the overlapping area and the distance between electrodes. This allows for continuous input without requiring direct finger contact with conductive surfaces. Conductive components are protected with a layered structure to reduce friction wear. It supports inputs from fingers, wrists, or elbows, making it useful for limited hand mobility or when hands are busy, while a non‐contact resting state helps prevent accidental inputs. The device incorporates an electrode array and wireless communication system, maintaining stable performance with less than 0.79% variation over 500 cycles. It demonstrates high responsivity with a response time of 12–15 ms, a position sensitivity of 0.26 mm ⁻¹ (≈26% capacitance increase per mm), and a pressure sensitivity of 0.77 kPa ⁻¹ . It remains functional in high humidity (90%) and after washing, offering a reliable and flexible solution. The system is well‐suited for teleoperation and IoT applications where responsive, wearable control interfaces are essential.

Remote manipulation devices extend human capabilities over vast distances or in inaccessible environments, removing constraints between patients and treatment. The integration of therapeutic and assistive devices with the Internet of Things (IoT) has demonstrated high potential to develop and enhance intelligent rehabilitation systems in the e‐health domain. Within such devices, soft robotic products distinguish themselves through their lightweight and adaptable characteristics, facilitating secure collaboration between humans and robots. The objective of this research is to combine a textile‐based sensorized glove with an air‐driven soft robotic glove, operated wirelessly using the developed control system architecture. The sensing glove equipped with capacitive sensors on each finger captures the movements of the medical staff's hand. Meanwhile, the pneumatic rehabilitation glove designed to aid patients affected by impaired hand function due to stroke, brain injury, or spinal cord injury replicates the movements of the medical personnel. The proposed artificial intelligence‐based system detects finger gestures and actuates the pneumatic system, responding within an average response time of 48.4 ms. The evaluation of the system further in terms of accuracy and transmission quality metrics verifies the feasibility of the proposed system integrating textile gloves into IoT infrastructure, enabling remote motion sensing and actuation.

In this study, okra gum polysaccharides derived from okra stem waste extract were utilized as a raw material for synthesizing hydrogel matrices. The polysaccharide‐rich okra gum was combined with gelatin to enhance the gelation properties of the resulting hydrogels. To assess and compare the self‐healing capabilities of the fabricated hydrogels, a natural and nontoxic crosslinking agent, succinic acid, was introduced into the hydrogel formulations at different ratios (5%, 7.5%, and 10% w / v ), imparting a dual network structure to the hydrogel matrices. Characterization of the synthesized hydrogels was conducted using scanning electron microscopy (SEM), Fourier‐transform infrared spectroscopy (FTIR), and differential scanning calorimetry (DSC) analyses, providing a comprehensive understanding of their structural and thermal properties. Furthermore, a series of three self‐healing assays, including gel block fusion tests, electrical conductivity assessments, and mechanical evaluations, were employed to evaluate the influence of succinic acid on the self‐healing efficacy of the okra–gelatin hydrogel composites. These investigations revealed promising outcomes, with the succinic acid–enhanced hydrogel formulation exhibiting a remarkable self‐healing ratio of 95% and an electrical conductivity recovery rate of 96.2%. Additionally, incorporating succinic acid in different proportions into the OK‐GUM‐GELSA hydrogel resulted in decreased swelling values. These findings underscore the significant potential of succinic acid as a crosslinking agent in enhancing the self‐healing properties of polysaccharide‐based hydrogel matrices, thereby paving the way for their promising applications in various fields, such as sustainable hydrogel sensors. These materials can provide environmentally friendly options for monitoring physiological and environmental changes, while their enhanced self‐healing properties contribute to more durable and reliable sensors for various electronic applications.

Soft wearable robotic devices have emerged as a promising solution for human mobility assistance and rehabilitation, yet current solutions suffer from issues such as bulkiness, high cost, nonscalability, noise, and limited portability. This study introduces a novel approach to soft robotic assistive devices using untethered, soft actuators with seamlessly integrated sensing, heating, and actuation properties through digital machine knitting and low‐boiling liquid. The proposed soft actuator operates under a voltage of less than 12.5 V, generating a tip force of up to 50 mN. This actuator achieves a bending motion when filled with 2 mL of low‐boiling liquid and supplied with 15 W. The dynamic response of the actuator is examined under consistent parameters, revealing a 60‐second inflation time and a subsequent natural cooling period of 30 s at room temperature. Notably, over 12 cycles, the tip force of the actuator exhibits minimal variation, highlighting its durability for prolonged usage. The proposed approach paves the way for overcoming the limitations of existing technologies, particularly in terms of motion assistance and rehabilitation applications, with an emphasis on at‐home usage during daily activities.