Evidence map›Paper›PMID 42505547›Full record

ArticleBiomimetics (Basel, Switzerland)2026

Bio-Inspired Gaze and Neural Command Fusion for Assistive Smartphone Interaction.

Marius-Valentin Drăgoi, Ionuț Nisipeanu, Iuliana Marin, Cozmin Adrian Cristoiu, Cătălin-George Alexe

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marius-Valentin DrăgoiFaculty of Industrial Engineering and Robotics, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.ORCID 0000-0001-6694-2883
Ionuț NisipeanuFaculty of Engineering in Foreign Languages, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.ORCID 0009-0007-9318-1611
Iuliana MarinFaculty of Engineering in Foreign Languages, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.ORCID 0000-0002-7508-1429
Cozmin Adrian CristoiuFaculty of Industrial Engineering and Robotics, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.ORCID 0000-0001-9716-1908
Cătălin-George AlexeDepartment of Entrepreneurship and Management, Faculty of Entrepreneurship Business Engineering and Management, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.

Funding

National University of Science and Technology POLITEHNICA Bucharest
6 · The paper itself

Abstract

This paper presents an assistive smartphone interaction system that combines mobile gaze tracking with EEG-based BCI commands. The Android application estimates the user's gaze with the front camera, MediaPipe facial landmarks, a TinyTrackerS TFLite model, temporal smoothing, and a calibrated mapping from model output to screen coordinates. The gaze point is used to locate the intended screen area, while the BCI layer uses Emotiv Cortex commands for click, scroll, and back actions. A FastAPI and MongoDB backend manages profiles, calibration data, validation reports, runtime data, and WebSocket control events. Android Accessibility is used to execute the selected actions, with raw tap fallback when needed. The system was tested with 36 student volunteers during a short Patient Assist task. In the evaluation, 33 out of 36 gaze mappings were promoted to the active profile. The average static mean error was 390.02 px, and the average static p95 error was 789.09 px. BCI command success was 89.58% for click, 72.22% for scroll, and 77.78% for back. The Android layer acknowledged 228 out of 234 accepted control events. The average usability score was 4.21 out of 5.

Indexed as

android accessibilityassistive smartphone interactionbrain–computer interfaceEEG commandsFastAPIgaze trackinghands-free controlmobile accessibility

Identifiers

PMID42505547
PMCPMC13406680

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.