ReviewSensors (Basel, Switzerland)2019
A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices.
Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 34 citations in OpenAlex.
- Review of Vision-Based Environmental Perception for Lower-Limb Exoskeleton Robots.Biomimetics (Basel, Switzerland) · 2024Article
- The use of home-based digital technology to support post-stroke upper limb rehabilitation: A scoping review.Clinical rehabilitation · 2024Article
- A Clinical Perspective on Bespoke Sensing Mechanisms for Remote Monitoring and Rehabilitation of Neurological Diseases: Scoping Review.Sensors (Basel, Switzerland) · 2023Article
- Design, Development, and Testing of an Intelligent Wearable Robotic Exoskeleton Prototype for Upper Limb Rehabilitation.Sensors (Basel, Switzerland) · 2021Article
- Exoskeleton Active Walking Assistance Control Framework Based on Frequency Adaptive Dynamics Movement Primitives.Frontiers in neurorobotics · 2021Article
- Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks.Frontiers in neurorobotics · 2021Article
- Sensor Fusion in Assistive and Rehabilitation Robotics.Sensors (Basel, Switzerland) · 2020Article
- ExoNet Database: Wearable Camera Images of Human Locomotion Environments.Frontiers in robotics and AI · 2020Article
- Subject- and Environment-Based Sensor Variability for Wearable Lower-Limb Assistive Devices.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Teleception is defined as sensing that occurs remotely, with no physical contact with the object being sensed. To emulate innate control systems of the human body, a control system for a semi- or fully autonomous assistive device not only requires feedforward models of desired movement, but also the environmental or contextual awareness that could be provided by teleception. Several recent publications present teleception modalities integrated into control systems and provide preliminary results, for example, for performing hand grasp prediction or endpoint control of an arm assistive device; and gait segmentation, forward prediction of desired locomotion mode, and activity-specific control of a prosthetic leg or exoskeleton. Collectively, several different approaches to incorporating teleception have been used, including sensor fusion, geometric segmentation, and machine learning. In this paper, we summarize the recent and ongoing published work in this promising new area of research.
Indexed as
Identifiers
What OpenQuestion holds
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.