![]() Such “virtual” spaces consist of conversations on diverse topics such as emerging technologies, news, current events, politics, family, relationships, and career opportunities. ![]() Social media platforms have evolved and transformed into “virtual” spaces via which people from all demographics communicate with each other to form their social support systems and develop “online” interpersonal relationships. In this Internet of Everything era, the use of social media platforms has skyrocketed in the recent past. With the advent and rapid adoption of the Internet of Everything lifestyle, in recent times, people’s everyday lives involve interacting with computers and a myriad of technology-based gadgets and devices in multiple ways while using various forms of Internet-based services and applications, a lot more than ever before. It was USD 200 million in 2017, and it is estimated to become USD 1.3 billion by the end of 2024. Given these diverse applications of exoskeletons and the projected increase in the same, the exoskeleton market is growing rapidly. Some of the applications of exoskeletons include (1) assisted living: helping older adults as well as people with various forms of disabilities to perform their daily routine tasks independently (2) military: for augmenting productivity and lowering fatigue (3) healthcare: to improve the quality of life of people who have lost one or more of their arms or legs or suffer paralysis in the same (4) firefighting: to assist firefighters in climbing faster, as well as for helping them to lift and carry heavy equipment (5) industry 4.0: to increase labor productivity, to assist in the transportation of heavy machinery, and to help workers in labor-intensive tasks. The exoskeleton technology has been rapidly advancing in the recent past on account of its multitude of applications and use cases. These include exoskeletons for the knee, shoulder, elbow, ankle, waist, hip, neck, spine, wrist, and index finger. In the last few years, exoskeletons have been developed for specific body parts or joints. Exoskeletons can be broadly classified as upper limb exoskeletons and lower limb exoskeletons. Depending on the specific application for which the exoskeleton would be used, they differ in design, functionality, operation, and necessary maintenance. Second, based on a comprehensive review of the recent works in the fields of Big Data, Natural Language Processing, Information Retrieval, Data Mining, Pattern Recognition, and Artificial Intelligence that may be applied to relevant Twitter data for advancing research, innovation, and discovery in the field of exoskeleton research, a total of 100 Research Questions are presented for researchers to study, analyze, evaluate, ideate, and investigate based on this dataset.Ī robotic exoskeleton may be broadly defined as a wearable electromechanical device developed with the primary objective of augmenting the physical performance, stamina, and abilities of the person who wears it. ![]() First, it presents an open-access dataset of about 140,000 Tweets about exoskeletons that were posted in a 5-year period from to. To address this research challenge, this work makes two scientific contributions to this field. Twitter, one such social media platform, is highly popular amongst all age groups, where the topics found in the conversation paradigms include emerging technologies such as exoskeletons. The Internet of Everything style of today’s living, characterized by people spending more time on the internet than ever before, with a specific focus on social media platforms, holds the potential for the development of such a dataset by the mining of relevant social media conversations. Therefore, it is crucial to study the degree and trends of user interest, views, opinions, perspectives, attitudes, acceptance, feedback, engagement, buying behavior, and satisfaction, towards exoskeletons, for which the availability of Big Data of conversations about exoskeletons is necessary. The exoskeleton market is projected to increase by multiple times its current value within the next two years. What you then need to do is to apply that model on your testing data, which should not be the same data as the one used for training.The exoskeleton technology has been rapidly advancing in the recent past due to its multitude of applications and diverse use cases in assisted living, military, healthcare, firefighting, and industry 4.0. When you train a neural net, you first create a model object.
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