Projects per year
Abstract
Wearable Cognitive Assistance (WCA) amplifies human cognition in real time through a wearable device and low-latency wireless access to edge computing infrastructure. It is inspired by, and broadens, the metaphor of GPS navigation tools that provide real-time step-by-step guidance, with prompt error detection and correction. WCA applications are likely to be transformative in education, health care, industrial troubleshooting, manufacturing, assisted driving, and sports training. Today, WCA application development is difficult and slow, requiring skills in areas such as machine learning and computer vision that are not widespread among software developers. This paper describes Ajalon, an authoring toolchain for WCA applications that reduces the skill and effort needed at each step of the development pipeline. Our evaluation shows that Ajalon significantly reduces the effort needed to create new WCA applications.
Original language | English |
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Pages (from-to) | 1773-1797 |
Number of pages | 25 |
Journal | Software - Practice and Experience |
Volume | 51 |
Issue number | 8 |
Early online date | 18 May 2021 |
DOIs | |
Publication status | Published - Aug 2021 |
MoE publication type | A1 Journal article-refereed |
Keywords
- artificial intelligence
- augmented reality
- cloudlets
- computer vision
- edge computing
- Gabriel
- machine learning
- mobile computing
- software productivity
- wearables
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Dive into the research topics of 'Ajalon: Simplifying the authoring of wearable cognitive assistants'. Together they form a unique fingerprint.Projects
- 1 Finished
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CEAMA: Cognitive Engine for Assembly and Maintenance Automation
Xiao, Y. (Principal investigator)
01/08/2018 → 31/01/2020
Project: Business Finland: New business from research ideas (TUTLI)