ITC571 – Emerging Technology and Innovation
Topic: Augmented reality-based user interfaces for mobile healthcare of elderly patients
Name: | Venkatesh Kasthala | |||
Project Title: | Review of Augmented reality-based user interfaces for mobile healthcare of elderly patients | |||
Week No: | 7 | Date: 25/04/2021 | ||
Planning | ||||
Milestone: | Planned: | Actual: | Comment: | |
There are 6 more articles that were left to be evaluated from the last week and this was the milestone that I thought I had to set in this week. | There were 6 articles that were left so it was planned that the articles will be studied and annotated in the given task. | In relation to the AR I had annotated in total 12 articles out of which I completed 6 articles in this week. I was able to get more in-depth knowledge about the topic that can be incorporated in the main project. | This task will be acting as a guide for the literature review that can help to ensure some good findings are made which are reliable. | |
Issues | ||||
Description: | Date: | Action/Result: | Finished (Y/N) | |
There is a system in which the machine glove helps the human to interact with the machine and this is the same discussed by Wen et al. (2020), from which interface can be learnt. | 23/04/2021 | It must be made sure that the interface is made easy to use enough for elderly people. | Yes | |
References
Wen, F., Sun, Z., He, T., Shi, Q., Zhu, M., Zhang, Z., … & Lee, C. (2020). Machine learning glove using self‐powered conductive superhydrophobic triboelectric textile for gesture recognition in VR/AR applications. Advanced Science, 7(14), 2000261. https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202000261