Evidence map›Paper›PMID 41336108›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2025

Vibrotactile Haptic and Gesture Feedback in a Smartwatch for Controlling a Multi-Activity Powered Knee-Ankle Prosthesis.

Amy E Lang, Curt A Laubscher, Shihao Cheng, Robert D Gregg

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2025. 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

4 authors.

Amy E Lang
Curt A Laubscher
Shihao Cheng
Robert D Gregg

Funding

Controlling Robot-Assisted Locomotion with Extended Kalman Filter Estimates of Phase and ActivityR01HD094772 · NICHD · UNIVERSITY OF TEXAS DALLAS · PI Robert D Gregg · 2018 to 2026
$4.3M
NICHD NIH HHS R01 HD094772
6 · The paper itself

Abstract

For powered lower-limb prostheses to be translated from research environments to real-world use, they must be able to perform a variety of daily activities, such as walking on level or ramped surfaces, stair climbing, sitting, and standing. The device must quickly and predictably switch between the modes corresponding to these activities. Multiple methods exist to trigger activity mode transitions, but they can overlook user agency, be slow and cumbersome to enact, lack discretion, or have limited predictability. This work presents a smartwatch application that allows the user to wirelessly control the activity mode of the prosthesis. The user can perform a swipe gesture on the smartwatch to transition to the desired mode, while the smartwatch provides vibrotactile haptic and visual feedback to the user to indicate the activity mode of the device. An experiment with one transfemoral amputee participant showed that the smartwatch application is viable for providing user control of the activity mode to traverse a multi-activity circuit using a powered knee-ankle prosthesis.

Indexed as

AnkleArtificial LimbsGesturesKnee ProsthesisTouchFeedbackHumansProsthesis DesignVibration

Identifiers

PMID41336108
PMCPMC12695086

What OpenQuestion holds

Textmetadata
LicenceTDM
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.