Developed Taylor series for muscle-finger system analysis.
problem Understanding the complex relationship between muscle activity and finger movement.
method Used Dendrite Net to develop Taylor series and construct relation spectrum.
result Found muscle synergy and coupling in hand movement.
Domain adaptation reduces prosthetic training time for amputees.
problem Reducing training time for non-invasive myoelectric prostheses.
method Evaluation of domain adaptation algorithms on amputee and intact subjects data.
result Previous experience from other subjects reduces training time by about an order of magnitude.
The paper presents a method to reduce arm motion complexity for prosthetics and robotics.
problem Reducing the complexity of human arm motions for robotic and prosthetic control.
method Data-driven techniques including DTW, DBA, Ward's distance, batch-DTW, and fPCA.
result Representative motion clusters and averages for different arm DOF levels.
AI solutions matched prosthetic control goals in a challenge.
problem Matching time-varying velocity vectors in musculoskeletal models.
method Deep reinforcement learning approaches with various modifications.
result Many solutions used similar techniques but implemented unique modifications.
Dual-stage sEMG classification improves gesture recognition accuracy.
problem Improving accuracy in hand gesture recognition from sEMG signals.
method Dual-stage classification approach: first stage groups similar activities, second stage classifies within groups.
result Dual-stage classification yields significantly higher accuracy than single-stage approach.
Graph Convolutional Networks improve prosthetic sensation interpretation.
problem Improving neuroprosthetic performance and sensory information stability.
method Applied Graph Convolutional Networks (GCNs) to interpret neuronal spiking activity.
result GCN model achieved 73.5% performance on ordinal regression task.
Simple attention model outperforms complex sEMG classifiers.
problem Improving myoelectric control for robotic prosthetics.
method Attention-based model for sEMG signal classification.
result Simple model achieves benchmark results on multiple datasets.
A new learning method for prosthetic arms without explicit rewards.
problem Learning a prosthetic arm to interact with users without explicit reward signals.
method Interaction-Grounded Learning, observing multidimensional context and feedback vectors, discovering latent reward signal.
result The algorithm can discover a latent reward signal and ground its policies for successful interaction.
catalyst.RL simplifies RL research, enabling reproducibility and efficiency.
problem Difficulty in reproducing and comparing RL algorithms.
method Open-source framework with distributed training, flexible configurations, and efficient RL algorithms.
result Demonstrated effectiveness on AI for Prosthetics Challenge, achieving 3rd place.
New sEMG dataset for ADL activities recognized with high accuracy.
problem Developing a robust dataset for sEMG-based ADL activity recognition.
method Acquired sEMG data from 25 subjects performing 22 ADL activities. Used 4 classifiers with various feature sets.
result SVM classifier achieved 83.21% accuracy on 5 FAABOS categories.
Flexible online learning framework for neural dynamics.
problem Learning latent neural state and dynamics from complex neural recordings.
method Stochastic gradient variational Bayes approach for joint optimization.
result Framework can optimize nonlinear dynamical system, observation model, and recognition model.
Generative model improves EMG pattern recognition accuracy.
problem Stochastic characteristics of EMG signals not fully considered in existing classification methods.
method Scale mixture-based stochastic generative model with variational Bayesian learning.
result Proposed method outperforms conventional classifiers in EMG pattern recognition.
Co-adaptive learning helps unknown algorithms perform tasks better than fixed decoders.
problem Improving unknown algorithms' performance in closed-loop settings.
method Proves co-adaptive learning outperforms fixed decoders under certain conditions.
result Co-adaptive learning guarantees better performance than fixed decoders.
DyEnsemble improves BCI accuracy by adapting to nonstationary neural signals.
problem Nonstationary neural signals in BCI cause decoding errors.
method Dynamic ensemble modeling that learns and combines diverse models online.
result DyEnsemble outperforms Kalman filters, especially with noisy signals.
The true online TD(λ) algorithm has recently been proposed (van Seijen and Sutton, 2014) as a universal replacement for the popular TD(λ) algorithm, in temporal-difference learning and reinforcement learning. True online TD(λ) has better theoretical properties than conventional TD(λ), and the expectation is that it als…
New system uses microwave radar for hand gesture recognition, improving accuracy and reducing processing time.
problem Limited vision-based hand gesture recognition under dark conditions.
method Deformable deep convolutional generative adversarial network (DCGAN) on Doppler radar signals.
result Recognition rate improved by 10% and testing time reduced by 30%.
FineHand learns hand shapes for better ASL recognition.
problem Difficult ASL recognition due to fast, articulate gestures.
method Combines manual and deep learning for hand shape embeddings, uses RNN for sequential gestures.
result Improved video gesture recognition accuracy on GMU-ASL51 benchmark.
Robot learns hand and tool affordances for better decision-making.
problem Designing robots that can predict object affordances and use tools effectively.
method Probabilistic model using visual and motor imagination to learn hand affordances and generalize to unseen tools.
result Robot can estimate tool affordances and support planning and decision-making tasks.
DIGIT is a low-cost tactile sensor for in-hand manipulation.
problem Difficulty in sensing contact forces limits robotic manipulation.
method DIGIT miniaturizes and improves a vision-based tactile sensor.
result DIGIT enables better control of interactions with the environment.
The classical trefoil is famous for having a three-colouring which distinguishes it from the unknot. The three-colouring is also notorious for not distinguishing the right handed from the left handed trefoil. However with a bit of tweaking the three colours can also be used for this task. What lies behind the method is…
RL learns dexterous object reorientation on a physical robot.
problem Learning complex in-hand manipulation tasks on physical robots.
method Reinforcement learning in a simulated environment, transfer learning.
result RL policies transfer from simulation to physical robot.
Deep neural network improves hand gesture classification from wearable IMUs.
problem Classifying hand gestures from wearable IMUs using conventional methods.
method Deep Neural Network (DNN) with optimization objective for signal fitting.
result 3-5% improvement in classification accuracy compared to SVM and kNN.
Solves complex Monge-Ampére equation with weakly regular right-hand side.
problem Solving complex Monge-Ampére equation with singularities.
method Proved existence of W3,p0 solution for weakly regular F. result Existence of classical W3,p0 solution for specific F. Enhances hand gesture recognition with separate networks and shared features.
problem Improving recognition accuracy of unimodal 3D-CNNs for dynamic hand gestures.
method Separate networks for each modality, collaborative learning, spatiotemporal semantic alignment loss, focal regularization.
result Improves test time recognition accuracy and state-of-the-art performance.
A new model explains how people solve physical problems and judge hand usage.
problem Understanding how people solve physical problems and judge hand usage.
method Developed a model that plans over symbolic representation, uses geometric solver, and checks feasibility with physical constraints.
result Model explains participants' actions and judgments with high quantitative accuracy.
Transfer learning improves dynamic model transfer for soft robotic hands.
problem Improving dynamic model transfer for underactuated soft robotic hands.
method Derive an upper bound on the Lyapunov exponent and use it to improve transfer.
result Significant improvement over traditional fine-tuning methods.
We prove that on compact Kähler manifolds solutions to the complex Monge-Ampère equation, with the the right hand side in Lp,p>1, are Hölder continuous.
Paper explores using hand gestures to type English letters.
problem Creating easy-to-remember, non-cumbersome gestures for typing.
method Statistical approach to handle randomness in hand movements.
result Achieved 97.33% accuracy with entire English alphabet.
Deep neural networks improve sEMG-based hand gesture classification.
problem Accurate classification of hand gestures from sEMG signals.
method Master-slave architecture with DNNs and synthetic feature data.
result Up to 9% improvement in accuracy with synthetic data.
We provide a benchmark dataset for hand gesture recognition using force myography.
problem Lack of publicly available benchmark data for force myography hand gesture recognition.
method Collected data from 20 persons covering 18 unique gestures using a commercially available sensor setup.
result Improved gesture recognition accuracy through transfer learning.
MCLNN improves audio classification with binary masks.
problem Improving audio classification accuracy.
method Binary mask applied to CLNN for feature preservation and combination exploration.
result Competitive recognition accuracies on GTZAN and ISMIR2004 datasets.
We present a somewhat new proof to the C2,α-aprori estimate for the uniform elliptic Monge-Ampere equations, in both the real and complex settings. Our estimates do not need to differentiate the equation, and only depends on the Cα′−norm of the right hand side of the equation, 0<α<α′.
We consider spaces for which there is a notion of harmonicity for complex valued functions defined on them. For instance, this is the case of Riemannian manifolds on one hand, and (metric) graphs on the other hand. We observe that it is then possible to define an "amazing" notion of holomorphic functions on them, and s…
A framework for real-time gesture recognition in tomato grafting.
problem Efficiently recognizing and tracking hand gestures for manual tasks.
method Sliding window filtering and decision tree model for real-time recognition.
result Average accuracy of 91% in recognizing gestures in real time.
Abstract reviews cohomologies on complex and hypercomplex manifolds.
problem Comparing cohomologies on complex and hypercomplex manifolds.
method Review and comparison of cohomological aspects.
result Similarities found between compact complex surfaces and compact hypercomplex manifolds.
Paper proposes a deep learning approach for hand movement classification from EEG.
problem Classifying hand movements from EEG for brain-computer interfaces.
method Uses a deep attention-based LSTM network to analyze EEG signals.
result Improves classification accuracy over benchmarks and state-of-the-art methods.
Note on gradient estimates for complex Monge-Ampere equation.
problem Gradient estimates for solutions of complex Monge-Ampere equation.
method Estimates Lp and L∞ for gradient in terms of continuity of the right-hand side. result Gradient estimates for solutions of complex Monge-Ampere equation.
We prove that the geodesic flow on the unit tangent bundle to a hyperbolic 2-orbifold is left-handed if and only if the orbifold is a sphere with three conic points. As a consequence, on the unit tangent bundle to a 3-conic sphere, the lift of every finite collection of closed geodesics that is zero in integral homolog…
The substantial turmoil created by both 2000 dot-com crash and 2008 subprime crisis has fueled the belief that the two classical paradigms of economics, which are the invisible hand and the rational agent, are not appropriate to describe market dynamics and should be abandoned at the benefit of alternative new theoreti…
New topological surgery concepts for natural phenomena.
problem Capturing topological changes in natural processes.
method Introducing new topological surgery concepts.
result Theoretical setting for examining topological changes.
Study shows patterns in Stein fillability of trefoil surgeries.
problem Determining Stein fillability of contact structures.
method Analyzing surgeries on the trefoil knot.
result Patterns in Stein fillability identified.
This technical note extends recent results on the computational complexity of globally minimizing the error of piecewise-affine models to the related problem of minimizing the error of switching linear regression models. In particular, we show that, on the one hand the problem is NP-hard, but on the other hand, it admi…
Classifies 4D toric Hermitian ALF metrics with conical singularities.
problem Classifying specific types of 4D Riemannian metrics.
method Explicit formulas provided for classification.
result Examples of metrics with conical singularities have infinitely many distinct topologies.
Existence and uniqueness of bounded solutions to complex Monge-Ampère flows on Kähler manifolds.
problem Existence and uniqueness of bounded solutions to complex Monge-Ampère flows.
method Proved existence and uniqueness of bounded solutions with specific conditions on the right-hand side.
result Existence and uniqueness of bounded solutions to the complex Monge-Ampère flow on compact Kähler manifolds.
Highly connected orbifolds are rare but exist.
problem Understanding the maximum connectivity of orbifolds.
method Provided examples and improved bounds for n-connected n-orbifolds.
result Improved bounds for n-connected n-orbifolds, up to dimension 5.
We extend the notion of what it means for a complete Ricci flow to have a given initial metric, and consider the resulting well-posedness issues that arise in the 2D case. On one hand we construct examples of nonuniqueness by showing that surfaces with cusps can evolve either by keeping the cusps or by contracting them…
Let Πbe a link projection in S^2. John Conway and later Francis Bonahon and Larry Siebenmann undertook to split Π into canonical pieces. These pieces received different names: basic or polyhedral diagrams on one hand, rational, algebraic, bretzel, arborescent diagrams on the other hand. This paper proposes a thorough…
The possibilities for new or unusual kinds of topological, locally linear periodic maps of non-prime order on closed, simply connected 4-manifolds with positive definite intersection pairings are explored. On the one hand, certain permutation representations on homology are ruled out under appropriate hypotheses. On th…