SBIR Phase II: Neural Algorithms for Multimodal Sensory Analysis

SBIR 第二阶段：用于多模态感官分析的神经算法

• 批准号: 1660175
• 负责人: Andrew Nere
• 金额: $ 73.44万
• 依托单位: Thalchemy Corp
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1660175&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Neural; Algorithms

The broader impact/commercial potential of this project is to enable continuous sensing applications in a wide range of energy-constrained sensor-enabled devices. Without dramatic innovations in the development of ultralow power sensory processing, continuous and accurate sensing will remain a niche application limited to environments with a stable and plentiful power source and significant computing resources. The technology described in this proposal will demonstrate the viability and potential widespread deployment of continuous sensing devices in mobile or remote environments with strict energy constraints. An important immediate market for the proposed technology with significant customer base is the smartphone and wearables market, where many new and emerging end user applications could leverage environmental sensing to trigger context-based and anticipatory actions. The proposed technology is broadly applicable to a number of other markets and domains, including medical, health, and safety monitoring of critical patient sensors, personal fitness devices, military applications, and environmental monitors. The ability to flexibly deploy continuous sensing for these and other applications has the potential to revolutionize these markets and create entirely new and unforeseen application domains. This Small Business Innovation Research Phase 2 Project plans to research and develop algorithms based on the properties of biological spiking neurons and the sensory processing capabilities of the human brain. The human brain is truly unique in its ability to use a basic computational element, the spiking neuron, and perform a broad variety of tasks. The brain has the ability to accurately classify sensory patterns from multiple modalities (touch, sight, etc.), to interpret the outside world, and to recognize the current context. A key intellectual merit of this project is a demonstration of how these novel neural algorithms can perform accurate, robust, and low power sensory analysis across multiple sensory domains. Just as the brain is capable of processing data from very different sensors. Researching and developing these neural algorithms will provide insight as to how the human brain learns to recognize important sensory information, how it is able to integrate information from such different sense modalities, and how it is able to perform complex analysis so efficiently.

该项目更广泛的影响/商业潜力是在各种能量受限的传感器启用设备中实现连续传感应用。如果在超低功耗感官处理的开发方面没有重大创新，连续和准确的传感将仍然是一个利基应用，仅限于具有稳定和充足电源和重要计算资源的环境。本提案中描述的技术将证明连续传感设备在具有严格能源约束的移动的或远程环境中的可行性和潜在的广泛部署。具有重要客户群的拟议技术的一个重要直接市场是智能手机和可穿戴设备市场，其中许多新的和新兴的最终用户应用程序可以利用环境传感来触发基于上下文的预期行动。所提出的技术广泛适用于许多其他市场和领域，包括关键患者传感器、个人健身设备、军事应用和环境监测器的医疗、健康和安全监测。为这些和其他应用灵活部署连续传感的能力有可能彻底改变这些市场，并创造全新的和不可预见的应用领域。 该小型企业创新研究第二阶段项目计划研究和开发基于生物尖峰神经元的特性和人脑的感觉处理能力的算法。人类大脑在使用基本计算元素（尖峰神经元）并执行各种任务的能力方面确实是独一无二的。大脑有能力从多种形式（触摸，视觉等）中准确地分类感觉模式，来解释外部世界，并认识到当前的背景。该项目的一个关键智力价值是演示了这些新型神经算法如何在多个感官领域进行准确、强大和低功耗的感官分析。就像大脑能够处理来自不同传感器的数据一样。研究和开发这些神经算法将有助于了解人类大脑如何学习识别重要的感官信息，如何整合来自不同感官模式的信息，以及如何有效地执行复杂的分析。