A Fog-Based Architecture for Remote Phobia Treatment
Bibliographic record
Abstract
Tactile Internet is a next generation Internet. It allows the exchange of haptic sensations in addition to audio and video content. It is a key enabler of several emerging applications as remote robotic surgery and autonomous driving, when combined with 5G and Edge Computing. Because Tactile Internet will enable mission critical applications, it has to adhere to strict requirements, mainly in terms of ultra-responsiveness, ultra-reliability and security. In this paper, we propose a fog-based architecture for remote phobia treatment, a Tactile Internet application. The proposed architecture offers a set of software modules that allow a phobia patient to have a therapy session, under the guidance of an expert therapist located remotely, with the patient and the therapist sharing the same virtual reality environment. We use the fog paradigm to meet the stringent Tactile Internet requirements, namely the round trip latency of 1ms. The components of the architecture offer high level interfaces to simplify interaction with external software components as well as with a wide range of hardware devices. A prototype is also implemented and the performance is discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".