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Driving low-power wearable systems with an adaptively-controlled foot-strike scavenging platform 驱动低功耗可穿戴系统与自适应控制的脚击清除平台
V. Goudar, Zhi Ren, P. Brochu, M. Potkonjak, Q. Pei
We explore the use of Dielectric Elastomer (DE) micro-generators as a means to scavenge energy from foot-strikes and power wearable systems. While they exhibit large energy densities, DEs must be closely controlled to maximize the energy they transduce. Towards this end, we propose a DE micro-generator array configuration that enhances transduction efficiency, and the use of foot pressure sensors to realize accurate control of the individual DEs. Statistical techniques are applied to customize performance for a user's gait and enable energy-optimized adaptive online control of the system. Simulations based on experimentally collected foot pressure datasets, empirical characterization of DE mechanical behavior and a detailed model of DE electrical behavior show that the proposed system can achieve between 45 and 66mJ per stride.
我们探索使用介电弹性体(DE)微型发电机作为一种手段,从脚撞击和电力可穿戴系统中清除能量。虽然它们表现出很大的能量密度,但必须严格控制它们,以使它们转导的能量最大化。为此,我们提出了一种DE微型发电机阵列配置,以提高转导效率,并使用足压传感器实现对单个DE的精确控制。应用统计技术根据用户的步态定制性能,并实现系统的能量优化自适应在线控制。基于实验收集的足压力数据集、DE力学行为的经验表征和DE电气行为的详细模型的仿真表明,所提出的系统每步可以达到45到66mJ。
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引用次数: 4
Nanostructured gas sensors integrated into fabric for wearable breath monitoring system 纳米结构气体传感器集成到织物中,用于可穿戴呼吸监测系统
Hyejin Park, Hosang Ahn, Dong-Joo Kim, Helen Koo
This paper presents a technology to design and fabricate nanostructured gas sensors in fabric substrates. Nanostructured gas sensors were fabricated by constructing ZnO nanorods on fabrics including polyester, cotton and polyimide for continuous monitoring of wearer's breath gas that can indicate health status. The developed fabric-based gas sensors demonstrated gas sensing by monitoring electrical resistance change upon exposure of acetone and ethanol gases.
本文提出了一种在织物衬底上设计和制造纳米结构气体传感器的技术。通过在涤纶、棉和聚酰亚胺等织物上构建氧化锌纳米棒,制备了纳米结构气体传感器,用于连续监测佩戴者的呼吸气体,从而表明其健康状况。所开发的基于织物的气体传感器通过监测暴露于丙酮和乙醇气体时的电阻变化来演示气体传感。
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引用次数: 1
Detecting strumming action while playing guitar 在弹吉他时检测拨弦动作
Soichiro Matsushita, D. Iwase
In this paper we describe a wristwatch-like device using a 3-axis gyro sensor to determine how a player is strumming the guitar. The device was worn on the right-handed player's right hand to evaluate the strumming action, which is important to play the guitar musically in terms of the timing and the strength of notes. With a newly developed calculation algorithm to specify the timing and the strength of the motion when the guitar string(s) were strummed, beginners and experienced players were clearly distinguished without hearing the sounds. The beginners as well as intermediate-level players showed a fairly large variation of the maximum angular velocity around the upper arm for each strum. Since the developed system reports the evaluation results with a graphical display as well as sound effects in real time, the players may improve their strumming action without playing back the performance.
在本文中,我们描述了一种类似手表的装置,它使用一个3轴陀螺仪传感器来确定演奏者是如何弹吉他的。这个装置被戴在右撇子演奏者的右手上,用来评估弹奏动作,这对于演奏吉他的音乐来说,在时间和音符的强度方面很重要。通过一种新开发的计算算法来指定拨动吉他弦时的时间和运动强度,初学者和经验丰富的玩家可以在听不到声音的情况下清楚地区分出来。初学者和中级水平的演奏者在上臂周围的最大角速度上表现出相当大的变化。由于开发的系统报告评估结果与图形显示以及实时的声音效果,玩家可以提高他们的弹奏动作,而不需要回放的性能。
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引用次数: 7
Improved actionSLAM for long-term indoor tracking with wearable motion sensors 改进的actionSLAM用于长期室内跟踪可穿戴运动传感器
Michael Hardegger, G. Tröster, D. Roggen
We present an indoor tracking system based on two wearable inertial measurement units for tracking in home and workplace environments. It applies simultaneous localization and mapping with user actions as landmarks, themselves recognized by the wearable sensors. The approach is thus fully wearable and no pre-deployment effort is required. We identify weaknesses of past approaches and address them by introducing heading drift compensation, stance detection adaptation, and ellipse landmarks. Furthermore, we present an environment-independent parameter set that allows for robust tracking in daily-life scenarios. We assess the method on a dataset with five participants in different home and office environments, totaling 8.7h of daily routines and 2500m of travelled distance. This dataset is publicly released. The main outcome is that our algorithm converges 87% of the time to an accurate approximation of the ground truth map (0.52m mean landmark positioning error) in scenarios where previous approaches fail.
我们提出了一种基于两个可穿戴惯性测量单元的室内跟踪系统,用于家庭和工作环境的跟踪。它采用同步定位和地图,将用户的动作作为地标,这些动作本身由可穿戴传感器识别。因此,该方法是完全可穿戴的,不需要任何部署前的工作。我们识别了过去方法的弱点,并通过引入航向漂移补偿、姿态检测适应和椭圆地标来解决它们。此外,我们提出了一个与环境无关的参数集,允许在日常生活场景中进行鲁棒跟踪。我们在不同的家庭和办公环境中对五名参与者的数据集进行了评估,总共8.7小时的日常生活和2500米的旅行距离。这个数据集是公开发布的。主要结果是,在之前的方法失败的情况下,我们的算法在87%的时间内收敛到地面真值图的精确近似值(平均地标定位误差0.52米)。
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引用次数: 42
Reversible contacting of smart textiles with adhesive bonded magnets 智能纺织品与粘接磁体的可逆接触
K. Scheulen, A. Schwarz, S. Jockenhoevel
The aim of this study was to develop a reversible electrical contacting through adhesive bonded neodymium magnets. To implement this, suitable magnets and adhesives are chosen by defined requirements and conductive bonds between textile and magnet are optimized. For the latter, three different bonds are produced and tested in terms of achievable conductivity and mechanical strength. It is shown that gold-coated neodymium magnets are most appropriate for such a contact. The reproducible electrical resistances are low with sufficient mechanical strength.
本研究的目的是开发一种可逆的电接触通过粘接钕磁铁。为了实现这一目标,根据规定的要求选择合适的磁铁和粘合剂,并优化纺织品与磁铁之间的导电键。对于后者,产生了三种不同的键,并根据可实现的导电性和机械强度进行了测试。结果表明,镀金钕磁铁最适合这种接触。可再生电阻低,机械强度足够。
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引用次数: 11
Ultrasound-based movement sensing, gesture-, and context-recognition 基于超声波的运动感应,手势和上下文识别
Hiroki Watanabe, T. Terada, M. Tsukamoto
We propose an activity and context recognition method where the user carries a neck-worn receiver comprising a microphone, and small speakers on his wrists that generate ultrasounds. The system recognizes gestures on the basis of the volume of the received sound and the Doppler effect. The former indicates the distance between the neck and wrists, and the later indicates the speed of motions. Thus, our approach substitutes the wired or wireless communication typically required in body area motion sensing networks by ultrasounds. Our system also recognizes the place where the user is in and the people who are near the user by ID signals generated from speakers placed in rooms and on people. The strength of the approach is that, for offline recognition, a simple audio recorder can be used for the receiver. We evaluate the approach in one scenario on nine gestures/activities with 10 users. Evaluation results confirmed that when there was no environmental sound generated from other people, the recognition rate was 87% on average. When there was environmental sound generated from other people, we compare approach ultrasound-based recognition which uses only the feature value of ultrasound against standard approach, which uses feature value of ultrasound and environmental sound. Results for the proposed approach are 65%, for the standard approach are 57%.
我们提出了一种活动和上下文识别方法,用户在脖子上佩戴一个接收器,包括一个麦克风,手腕上的小扬声器可以产生超声波。该系统根据接收声音的音量和多普勒效应来识别手势。前者表示脖子和手腕之间的距离,后者表示动作的速度。因此,我们的方法用超声波代替了身体区域运动传感网络中通常需要的有线或无线通信。我们的系统还通过放置在房间和人身上的扬声器产生的ID信号来识别用户所在的位置和用户附近的人。该方法的优点在于,对于离线识别,可以使用简单的录音机作为接收器。我们在一个场景中对10个用户的9个手势/活动进行了评估。评价结果证实,在没有他人环境声音的情况下,识别率平均为87%。当有其他人发出的环境声时,我们比较了仅使用超声特征值的基于超声的方法识别与使用超声和环境声特征值的标准方法识别。建议方法的结果为65%,标准方法的结果为57%。
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引用次数: 28
I know what you are reading: recognition of document types using mobile eye tracking 我知道你在看什么:使用移动眼动追踪识别文档类型
K. Kunze, Yuzuko Utsumi, Yuki Shiga, K. Kise, A. Bulling
Reading is a ubiquitous activity that many people even perform in transit, such as while on the bus or while walking. Tracking reading enables us to gain more insights about expertise level and potential knowledge of users -- towards a reading log tracking and improve knowledge acquisition. As a first step towards this vision, in this work we investigate whether different document types can be automatically detected from visual behaviour recorded using a mobile eye tracker. We present an initial recognition approach that com- bines special purpose eye movement features as well as machine learning for document type detection. We evaluate our approach in a user study with eight participants and five Japanese document types and achieve a recognition performance of 74% using user-independent training.
阅读是一项无处不在的活动,许多人甚至在交通工具上,比如在公共汽车上或走路时也会阅读。跟踪阅读可以让我们更深入地了解用户的专业水平和潜在知识——走向阅读日志跟踪,提高知识获取。作为实现这一愿景的第一步,在这项工作中,我们研究了是否可以从使用移动眼动仪记录的视觉行为中自动检测不同的文档类型。我们提出了一种初始识别方法,该方法结合了特殊目的的眼动特征以及用于文档类型检测的机器学习。我们在8名参与者和5种日语文档类型的用户研究中评估了我们的方法,并使用用户独立训练实现了74%的识别性能。
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引用次数: 81
Wearable partner agent with anthropomorphic physical contact with awareness of user's clothing and posture 可穿戴的伙伴代理具有拟人化的身体接触与用户的服装和姿势的意识
Tomoko Yonezawa, H. Yamazoe
In this paper, we introduce a wearable partner agent, that makes physical contacts corresponding to the user's clothing, posture, and detected contexts. Physical contacts are generated by combining haptic stimuli and anthropomorphic motions of the agent. The agent performs two types of the behaviors: a) it notifies the user of a message by patting the user's arm and b) it generates emotional expression by strongly enfolding the user's arm. Our experimental results demonstrated that haptic communication from the agent increases the intelligibility of the agent's messages and familiar impressions of the agent.
在本文中,我们引入了一个可穿戴的伙伴代理,它根据用户的服装、姿势和检测到的环境进行物理接触。物理接触是由触觉刺激和代理人的拟人化运动相结合产生的。代理执行两种类型的行为:a)它通过拍用户的手臂来通知用户消息,b)它通过强烈地拥抱用户的手臂来产生情感表达。我们的实验结果表明,来自智能体的触觉交流增加了智能体信息的可理解性和对智能体的熟悉印象。
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引用次数: 21
3D from looking: using wearable gaze tracking for hands-free and feedback-free object modelling 3D从看:使用可穿戴凝视跟踪免提和无反馈对象建模
T. Leelasawassuk, W. Mayol-Cuevas
This paper presents a method for estimating the 3D shape of an object being observed using wearable gaze tracking. Starting from a sparse environment map generated by a simultaneous localization and mapping algorithm (SLAM), we use the gaze direction positioned in 3D to extract the model of the object under observation. By letting the user look at the object of interest, and without any feedback, the method determines 3D point-of-regards by back-projecting the user's gaze rays into the map. The 3D point-of-regards are then used as seed points for segmenting the object from captured images and the calculated silhouettes are used to estimate the 3D shape of the object. We explore methods to remove outlier gaze points that result from the user saccading to non object points and methods for reducing the error in the shape estimation. Being able to exploit gaze information in this way, enables the user of wearable gaze trackers to be able to do things as complex as object modelling in a hands-free and even feedback-free manner.
本文提出了一种利用可穿戴凝视跟踪技术估计被观察物体三维形状的方法。我们从同时定位和映射算法(SLAM)生成的稀疏环境地图开始,利用定位在3D中的凝视方向提取被观察对象的模型。通过让用户看着感兴趣的对象,而不需要任何反馈,该方法通过将用户的凝视光线反向投射到地图上来确定3D关注点。然后将3D视点用作种子点,用于从捕获的图像中分割对象,并使用计算的轮廓来估计对象的3D形状。我们探索了去除由于用户扫视到非目标点而产生的离群注视点的方法,以及减少形状估计误差的方法。能够以这种方式利用凝视信息,使可穿戴凝视跟踪器的用户能够以免提甚至无反馈的方式完成复杂的物体建模。
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引用次数: 10
Sensor-embedded teeth for oral activity recognition 用于口腔活动识别的传感器嵌入牙齿
Cheng-Yuan Li, Yen-Chang Chen, Wei-Ju Chen, Polly Huang, Hao-Hua Chu
This paper presents the design and implementation of a wearable oral sensory system that recognizes human oral activities, such as chewing, drinking, speaking, and coughing. We conducted an evaluation of this oral sensory system in a laboratory experiment involving 8 participants. The results show 93.8% oral activity recognition accuracy when using a person-dependent classifier and 59.8% accuracy when using a person-independent classifier.
本文介绍了一种可穿戴口腔传感系统的设计和实现,该系统可以识别人类的口腔活动,如咀嚼、饮用、说话和咳嗽。我们在一个有8名参与者的实验室实验中对这个口腔感觉系统进行了评估。结果表明,使用人相关分类器时,口腔活动识别准确率为93.8%,使用人独立分类器时,准确率为59.8%。
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引用次数: 47
期刊
The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference
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