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Record W2167357417 · doi:10.1109/ds-rt.2007.27

Design and Implementation of Haptic Tele-mentoring over the Internet

2007· article· en· W2167357417 on OpenAlexaff
Jilin Zhou, Xiaojun Shen, Abdulmotaleb El Saddik, Nicolas D. Georganas

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHaptic technologyComputer scienceJitterNetwork packetThe InternetOvershoot (microwave communication)Latency (audio)MultimediaHuman–computer interactionSimulationComputer networkTelecommunications

Abstract

fetched live from OpenAlex

Haptic Tele-mentoring refers to an educational technique in which the mentor can teach the mentee, in a hand-by-hand manner over communication networks, through the coupling of two haptic devices. Essentially, the realization of tele-mentoring relies on the efficient transmission of haptic information, such that either end of the network can sense and/or impart forces. A few of obstacles in developing the tele-mentoring applications over the internet are network delay, jitter, and packet loss. These impairments potentially affect the stability of the tele-mentoring system and degrade the feeling of guiding. This paper analyzes the design and implementation constraints of the system, as well as the simulation and experimental results. To compensate for the network latency, a novel approach based on the behaviors of the human arm trajectory is proposed to lower the overshoot so as to improve the overall system stability. The experimental results show the effectiveness of the anti-overshoot algorithm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score0.212

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.266
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2007
Admission routes1
Has abstractyes

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