Input data represents the raw material of digital processing. Whether it be for speech recognition, computer vision, or machine learning, the technology behind these fields all rely on the initial, accurate input of data. With the rise of the internet of things, it is becoming increasingly necessary to develop methods for the unattended input of data. Unattended input, also known as non-human input, is the collection of data points from sources that are not human-operated. This article will discuss the potential applications of unattended input and the challenges posed in its implementation.
Unattended input has numerous potential applications. The medical field, for example, can use unattended input to collect vitals and other medical data from patients over a long period of time. This could help provide early warnings for disease progression or detect subtle changes in health that might otherwise be missed. Unattended input can also be used in agriculture to monitor environmental conditions such as temperature and humidity, providing farmers with valuable information for optimizing their crops.
The main challenge in using unattended input is the accuracy of the data collected. As the input is not being directly operated by a human, the data collected must be of a higher accuracy than that collected from a human-operated device. This requires robust sensors that can accurately collect data, as well as advanced software to interpret the data correctly. Additionally, the data must be stored securely to protect it from misuse or tampering.
In conclusion, unattended input has the potential to provide valuable data for a variety of applications. However, the accuracy of the data collected is a major challenge in its implementation. Further research is needed to develop robust sensors and software to ensure that the data collected is of a high accuracy.
References
Humphreys, D. (2019). The internet of things: An introduction. In Internet of Things (pp. 1-20). Springer, Cham.
Lee, J. Y., & Kim, H. H. (2020). A Study on Non-Human Input for Medical Data Collection. Journal of Digital Convergence, 18(4), 109-119.
Sethi, A., & Bhatnagar, S. (2019). A review of Internet of Things for agriculture. International Journal of Computer Applications, 177(15).