Evidence map›Paper›PMID 42817376›Full record

ArticleSensors (Basel, Switzerland)2026

Smart Objects for Clinical Rehabilitation and Education: A Scoping Review of Design, Sensing, and Validation.

Lorenzo Pugi, Laura Fiorini, Marco Vincenzo Maselli, Filippo Cavallo

Abstract readScoping Review
In one paragraph

Article in Sensors (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

4 authors.

Lorenzo PugiDepartment of Industrial Engineering, University of Florence, 50121 Firenze, Italy.ORCID 0009-0003-4243-4923
Laura FioriniDepartment of Industrial Engineering, University of Florence, 50121 Firenze, Italy.ORCID 0000-0001-5784-3752
Marco Vincenzo MaselliDepartment of Industrial Engineering, University of Florence, 50121 Firenze, Italy.ORCID 0009-0004-0893-6513
Filippo CavalloDepartment of Industrial Engineering, University of Florence, 50121 Firenze, Italy.ORCID 0000-0001-7432-5033

Funding

Italian Ministry of University and Research PNC0000007
6 · The paper itself

Abstract

Interaction with physical objects plays a key role in the development, assessment, and treatment of cognitive and motor skills across the lifespan. In recent years, this interaction has been enhanced by smart objects, namely everyday items augmented with embedded sensing, processing, and feedback capabilities. These objects enable objective behavioural data collection while preserving natural and engaging human-object interactions. However, the literature remains fragmented and often focused on specific applications or interaction paradigms. This scoping review provides an overview of smart objects developed for clinical and educational contexts, with intended uses including assessment, treatment, training, education, and data collection to support machine learning approaches. Forty-two studies published from 2010 up to the final search date of 29 June 2026 were analysed following the PRISMA-ScR guidelines. The review adopts a design- and hardware-oriented perspective, classifying smart objects according to physical shape, intended use, target population, and validation level. Particular attention is given to embedded electronic components, measured parameters, and the exploitation of sensing and feedback technologies during human-object interaction. By synthesising current solutions, this review highlights emerging trends, recurring limitations, and open challenges related to design choices, technological constraints, and experimental validation, supporting the development of robust, adaptable, and real-world-ready smart objects.

Indexed as

RehabilitationEquipment DesignHumansMachine Learningeducational toolshuman–object interactionmotor and cognitive skill assessmentrehabilitation technologiessmart objects

Identifiers

PMID42817376
PMCPMC13611113

What Socratic holds

Textmetadata
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 Socratic graph.