An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions

The exoskeleton technology has been rapidly advancing in the recent past due to its multitude of applications in different fields. With the projected increase in the diverse uses of exoskeletons in the next few years in these application domains and beyond, it is crucial to study, interpret, and analyze user perspectives, opinions, and feedback related to exoskeletons, for which a comprehensive dataset of communications related to exoskeletons is necessary. The Internet of Everything style of today's living, characterized by people spending more time on the Internet than ever before, holds the potential for developing such a dataset by the mining of relevant web behavior data from social media communications, which have increased exponentially in the last few years. Twitter, one such social media platform, is highly popular amongst all age groups, who communicate on diverse topics via tweets while sharing their views, opinions, perspectives, and feedback towards the same. To address this research challenge, this paper makes multiple scientific contributions to this field. First, it presents a novel approach of mining tweets that is not bound by any restrictions on the number of days during which the tweets can be mined. Second, by using this approach, it presents an open-access dataset of approximately 20,000 tweets related to exoskeletons, that were posted over a period of 231 days. Finally, based on a review of 108 emerging works in this field, the paper discusses multiple interdisciplinary applications