跨会话和科目域调整,用于构建强大的肌电接口
概括
这项研究引入了一个自适应信息融合神经网络 (AIFNN),以改善表面电肌图 (sEMG) 的手势识别. 亚投行增强了对信号变化的稳定性,在现实应用中表现优于现有方法.
科学领域:
- 生物医学工程 生物医学工程
- 人与计算机的交互
- 机器学习 机器学习
背景情况:
- 表面电肌图 (sEMG) 通过手势识别实现了先进的人机交互.
- 肌电接口中的信号变化导致域转移,挑战性能和稳定性.
- 现有的转移学习方法与sEMG信号的固有可变性作斗争.
研究的目的:
- 提出一个新的自适应信息融合神经网络 (AIFNN) 框架.
- 为了增强肌电接口对抗域移的稳定性.
- 在各种应用场景中改进手势识别性能.
主要方法:
- 开发了一个AIFNN框架,利用领域对抗性培训.
- 员工的分类损失,域差异损失和域歧视损失.
- 通过十个实验对象在十天内执行十六种手势,在会内,会间和实验对象间的场景中验证了方法.
主要成果:
- 与微调 (FT) 和域对抗网络 (DANN) 相比,AIFNN表现优越.
- 该框架有效地减少了不同领域之间的分配不匹配.
- 实现了强大的手势分类,尽管信号变化和跨不同用户和会话.
结论:
- 亚投行为基于sEMG的手势识别提供了强大的解决方案.
- 该框架显示了实际myoelectric接口应用的巨大潜力.
- 这些发现为未来在适应性人机交互方面的进步提供了基础.
相关概念视频
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Multicellular organisms employ a variety of ways for cells to communicate with each other. Gap junctions are specialized proteins that form pores between neighboring cells in animals, connecting the cytoplasm between the two, and allowing for the exchange of molecules and ions. They are found in a wide range of invertebrate and vertebrate species, mediate numerous functions including cell differentiation and development, and are associated with numerous human diseases, including cardiac and...
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Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
Integration of Synaptic Events
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...


