# A Systematic Review of Insole Sensor Technology: Recent Studies and Future Directions
## 6 Research Challenges and Future Perspectives  
Despite all the notable advancements in smart insole technology, there are still some challenges that must be overcome to further progress in this field. A significant limitation is the requirement for thorough validation of smart insole technology according to recognized laboratory standards to guarantee its reliability and accuracy. It is essential to develop standardized testing techniques that can be broadly implemented. For that purpose, it is important to perform comparative research between smart insole and conventional gait analysis equipment such as force plates and motion capture devices. Finally, submitting validation studies to peer-reviewed journals will enhance the credibility of the research. The broad adoption of advanced smart insole may be limited by the high costs associated with them. To overcome this issue, it is necessary to investigate cost-cutting methods such as implementing mass production techniques and utilizing more affordable materials while maintaining high standards of quality. Performing cost-benefit studies to emphasize the enduring cost savings and advantages of utilizing intelligent insoles for preventative healthcare and rehabilitation can demonstrate how valuable they are. To reach this goal, it is crucial to explore financial opportunities or incentives for the creation of new prototypes and equipment, particularly in the field of healthcare. The lack of variety in the data limits the capacity to apply research findings to a wider context. Developing a centralized repository to store and distribute raw data from different research projects, with a focus on integrating a wide range of populations and situations, will be very important. It is fundamental to encourage multi-center research that will gather data from various demographic and clinical contexts and to establish standardized techniques for collecting data. These measures will allow the consolidation of data, enable comparative studies, and allow progress in the various scientific fields. One of the most important objectives is to prioritize privacy and ensure data security while also guaranteeing that technology remains easily accessible and user-friendly. Implementing strong encryption and confidentiality methods is vital for protecting user data. Defining clear and explicit policies and processes addressing data ownership, sharing, and consent is fundamental. Optimizing comfort and efficiency demand improvements in personalized wearable technology devices. Providing resources to research focused on developing customized insoles tailored to the distinct anatomical and functional needs of each person is extremely significant. The use of 3D printing and adaptive materials can improve the user experience by creating customized insole designs. It is also necessary to carry out user-centered design studies to constantly improve comfort and functionality, considering user feedback as a premise. The integration of advanced data analytics techniques remains insufficient. As a way to deal with this limitation, it is necessary to develop and implement machine learning techniques that can enhance the precision and predictive capabilities of smart insoles. Using artificial intelligence to analyze extensive datasets with the objective of identifying patterns, detecting anomalies, and constructing predictive models will result in deeper insights. Collaborating with data scientists to incorporate advanced analytics into insole systems can be beneficial for obtaining real-time feedback and monitoring. Another problem emerges from the insufficient integration and compatibility with other wearable devices. It is imperative to comprehend the existing options and establish operational procedures to enable effective data transmission between smart insoles and other wearable devices such as smartwatches and fitness trackers.