ArticleIoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)2017
SeleCon: Scalable IoT Device Selection and Control Using Hand Gestures.
Article in IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
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Who cites it
5 citing papers in PubMed.
- GECO: A Real-Time Computer Vision-Assisted Gesture Controller for Advanced IoT Home System.Sensors (Basel, Switzerland) · 2025Article
- Pressure-Guided LSTM Modeling for Fermentation Quantification Prediction.Sensors (Basel, Switzerland) · 2025Article
- An efficient blockchain-based framework for file sharing.Scientific reports · 2024Article
- Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review.Journal of medical Internet research · 2020Article
- Building Dynamic Communities of Interest for Internet of Things in Smart Cities.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Although different interaction modalities have been proposed in the field of human-computer interface (HCI), only a few of these techniques could reach the end users because of scalability and usability issues. Given the popularity and the growing number of IoT devices, selecting one out of many devices becomes a hurdle in a typical smarthome environment. Therefore, an easy-to-learn, scalable, and non-intrusive interaction modality has to be explored. In this paper, we propose a
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Registered trials
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.