AIMC Topic: Equipment Design

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A Fully Embedded Adaptive Real-Time Hand Gesture Classifier Leveraging HD-sEMG and Deep Learning.

IEEE transactions on biomedical circuits and systems
This paper presents a real-time fine gesture recognition system for multi-articulating hand prosthesis control, using an embedded convolutional neural network (CNN) to classify hand-muscle contractions sensed at the forearm. The sensor consists in a ...

Adaptive Fusion-Based Autonomous Laparoscope Control for Semi-Autonomous Surgery.

Journal of medical systems
The purpose of this paper is to develop an autonomous tracking algorithm based on adaptive fusion kinematics method, the autonomous laparoscope control algorithm and adaptive fusion kinematics method are proposed for semi-autonomous surgery, focus on...

Hybrid Jamming for Bioinspired Soft Robotic Fingers.

Soft robotics
This article describes a novel design of bioinspired soft robotic fingers based upon hybrid jamming principle-integrated layer jamming and particle jamming. The finger combines a fiber-reinforced soft pneumatic actuator with a hybrid jamming substrat...

Shape Memory Alloy-Based Soft Finger with Changeable Bending Length Using Targeted Variable Stiffness.

Soft robotics
This work described a bioinspired soft robotic finger with variable bending length to conform objects with different sizes by means of selectively varying the structural stiffness of its segments. The basic design is a shape memory alloy-based soft a...

Non-Invasive Estimation of Hemoglobin Using a Multi-Model Stacking Regressor.

IEEE journal of biomedical and health informatics
OBJECTIVE: We describe a novel machine-learning based method to estimate total Hemoglobin (Hb) using photoplethysmograms (PPGs) acquired non-invasively.

Application of Deep Compression Technique in Spiking Neural Network Chip.

IEEE transactions on biomedical circuits and systems
In this paper, a reconfigurable and scalable spiking neural network processor, containing 192 neurons and 6144 synapses, is developed. By using deep compression technique in spiking neural network chip, the amount of physical synapses can be reduced ...

Signal identification system for developing rehabilitative device using deep learning algorithms.

Artificial intelligence in medicine
Paralyzed patients were increasing day by day. Some of the neurodegenerative diseases like amyotrophic lateral sclerosis, Brainstem Leison, Stupor and Muscular dystrophy affect the muscle movements in the body. The affected persons were unable to mig...

Rapid Manufacturing of Thin Soft Pneumatic Actuators and Robots.

Journal of visualized experiments : JoVE
This protocol describes a method for rapid manufacturing of soft pneumatic actuators and robots with an ultrathin form factor using a heat press and a laser cutter machine. The method starts with the lamination of thermoplastic polyurethane (TPU) she...

Recurrent Braiding of Thin McKibben Muscles to Overcome Their Limitation of Contraction.

Soft robotics
This study presents a novel idea of rebraiding thin McKibben muscles to overcome their limitation of contraction. The thin McKibben muscles, presented in the authors' previous work, have the flexibility that allows them to be braided. According to th...

Human-mimetic soft robot joint for shock absorption through joint dislocation.

Bioinspiration & biomimetics
This paper presents a human-mimetic manipulator capable of shock absorption by using dislocation at the soft joint. A one degree-of-freedom (DOF) soft robot joint was developed based on the human elbow-joint structure, especially mimicking the humero...