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Indoor Place Prediction on Smart Phones 22

Indoor Place Prediction on Smart Phones

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Proceedings of the 20th acm conference on embedded networked sensor systems

作者： Pritam Sen Xiaopeng Jiang Qiong Wu Manoop Talasila Wen-Ling Hsu Cristian Borcea New Jersey Institute of Technology AT&T Research Lab

ISBN: (纸本)9781450398862

High-accuracy and low-latency indoor place prediction for mobile users is crucial to enable applications for assisted living, emergency services, smart homes, and augmented reality. Previous studies on indoor place prediction use complex infrastructure with multiple visual/wireless anchors or multiple wireless access points. these localization techniques are difficult to deploy, may negatively impact user privacy through location tracking, and their data collection is not suitable for personalized place prediction. To solve these challenges, this paper proposes GoPlaces, a novel app that fuses inertial sensor data with WiFi-RTT estimated distances to predict the future indoor places visited by a user. GoPlaces does not require any infrastructure, except for one cheap off-the-shelf WiFi access point that supports ranging with RTT. In addition, it enables personalized place naming and prediction through its on-the-phone data collection and protects users' location privacy because user's data never leaves the phone. GoPlaces uses an attention-based bidirectional long short-term memory model to detect user's current trajectory, which is then used together with historical information stored in a prediction tree to infer user's future places. We implemented GoPlaces in Android and evaluated it in several indoor spaces. the experimental results demonstrate prediction accuracy as high as 92%, low latency, and low resource consumption on the phones.

关键词： human mobility sensor fusion time series analysis indoor place prediction wifi-RTT deep learning smart phones

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CIPhy: Causal Intervention with Physical Confounder from IoT sensor Data for Robust Occupant Information Inference 22

CIPhy: Causal Intervention with Physical Confounder from IoT...

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Proceedings of the 20th acm conference on embedded networked sensor systems

作者： Zhizhang Hu Tong Yu Ruiyi Zhang Shijia Pan University of California Carnegie Mellon University Duke University

ISBN: (纸本)9781450398862

Occupant information inference with IoT sensor data enables many smart applications, such as patients'/older adults' in-home monitoring. the difficulty of collecting labeled real-world IoT sensor data often leads to reliability and scalability issues for those systems. Extensive prior works (e.g., domain adaptation) focus on the domain shift issues, i.e., the inconsistent data feature and label relationship, and dataset bias is often neglected. Dataset bias is commonly caused by limited and varied accessibility to labeled data for each class, and it is inevitable for real-world datasets. the model trained with a biased dataset fits into the bias, hence cannot further generalize to the testing data for accurate *** propose CIPhy, a causal intervention scheme with physical confounders measured from the sensor data to achieve robust occupant information inference. We model the dataset bias as a confounding problem. there exists a confounder directly impacts both data feature and label, and each class's accessibility to labeled data varies when the confounder's condition changes. the model trained with biased data learns a spurious feature-label correlation conditioned on the confounder's condition in the training data. When testing data has a different condition, i.e., confounding shift, this correlation can not be applied. By using the causal intervention, e.g., backdoor adjustment, the confounding shift's negative impact on the data-driven models can be mitigated. the CIPhy decouples the sensor data to measure the confounder, then conducts the causal intervention for a de-biased occupant information inference. We use a public dataset on occupant identification as a case study, to investigate the feasibility of applying causal intervention to resolve the dataset bias issue. From the experiment, CIPhy achieves up to 11.42% identification accuracy improvement compared to baselines given the biased training data and confounding shift.

关键词： occupant information inference dataset bias causal intervention

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Integrated distributed energy awareness for wireless sensor networks 09

Integrated distributed energy awareness for wireless sensor ...

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Proceedings of the 7th acm conference on embedded networked sensor systems

作者： Geoffrey Werner Challen Jason Waterman Matt Welsh Harvard University

ISBN: (纸本)9781605585192

Energy in sensor networks is distributed and non-transferable. Over time, differences in energy availability across the network are likely to arise. Protocols such as routing engines can concentrate energy load at certain nodes. Variations in incident sunlight can produce different solar charging rates at different nodes. Because many sensor network applications require nodes collaborate --- to ensure complete sensor coverage or route data to the network's edge --- a small set of nodes threatened by low energy availability can have a disproportionate impact on the entire network. For example, the loss of a single sink node may render the application unable to communicate with all the other ***, network density provides redundancy that can be exploited to control the distribution of energy load. Multiple possible routing paths may link a node and the sink, or several sinks may exist. Adjusting MAC-level parameters may allow a node to conserve energy by forcing additional load on its neighbors. Inputs from multiple sensors may prove redundant to the application, allowing some sensors to be disabled or operated at reduced fidelity, saving power at those nodes. these choices imply that energy load can be tuned to match availability, and this tuning can extend the useful lifetime of the *** distributed energy management requires network-wide awareness of energy availability and load integrated with algorithms guiding protocols toward states producing longer lifetimes or higher node duty-cycles. Intelligent Distributed Energy Awareness (IDEA) is a sensor network service that can be used by both protocols and applications. Given the current energy availability and a set of protocol states, each with different implications for network-wide energy consumption, IDEA projects future energy availability in order to make the best choice. By simplifying decisions impacting distributed energy availability, it facilitates the implementation of energy-aware s

关键词： resource management optimization wireless sensor networks resource distribution

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Deploying a 6LoWPAN, CoAP, low power, wireless sensor network: Poster Abstract 16

Deploying a 6LoWPAN, CoAP, low power, wireless sensor networ...

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Proceedings of the 14th acm conference on embedded Network sensor systems CD-ROM

作者： Arthur Fabre Kirk Martinez Graeme M. Bragg Philip J. Basford Jane Hart Sebastian Bader Olivia M. Bragg Electronics and Computer Science University of Southampton Geography and Environment University of Southampton Electronics Design Mid Sweden University Environment University of Dundee

ISBN: (纸本)9781450342636

In order to integrate equipment from different vendors, wireless sensor networks need to become more standardized. Using IP as the basis of low power radio networks, together with application layer standards designed for this purpose is one way forward. this research focuses on implementing and deploying a system using Contiki, 6LoWPAN over an 868 MHz radio network, together with CoAP as a standard application layer protocol. A system was deployed in the Cairngorm mountains in Scotland as an environmental sensor network, measuring streams, temperature profiles in peat and periglacial features. It was found that RPL provided an effective routing algorithm, and that the use of UDP packets with CoAP proved to be an energy efficient application layer. this combination of technologies can be very effective in large area sensor networks.

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Concurrent Moving-Based Connection Restoration Scheme between Actors to Ensure the Continuous Connectivity in WSANs

Concurrent Moving-Based Connection Restoration Scheme betwee...

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IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Yuya Tamura Takuma Koga Shinichiro Hara Kentaroh Toyoda Iwao Sasase Dept. of Information and Computer Science Keio University Yokohama Japan

In Wireless sensor-Actor Networks (WSANs), sensors probe the surroundings and forward their data to actors. Actors collaboratively respond to achieve predefined application mission. However, since the environment where WSANs are used is usually complex and harsh, actors cannot communicate with its neighbor actors occasionally due to the failure of an actor. Although the recent work provides a connection restoration scheme between actors, disconnection intermittently occurs since each actor moves to new position one-by-one. In this paper, we propose a concurrent moving-based connection restoration scheme between actors to ensure the continuous connectivity. By sending a message to neighbor actor before moving, an actor can inform when it starts to move and where it moves to. thus, neighbor actors which receive a message can calculate when it starts to move for concurrent move of actors. An actor starts to move when the communication with neighbor actors is unavailable due to neighbor actor's move. Further, when the actor starts to move, it creates sub-paths to its moving neighbor actor for continuous connectivity. the network restoration time is shortened because of concurrently moving instead of moving one by one. We show that our scheme restores the network connectivity much robuster and faster than the conventional scheme by computer simulation.

关键词： Robot sensing systems Maintenance engineering Wireless sensor networks Wireless communication Ad hoc networks conferences Network topology

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Experimental Study for Multi-layer Parameter Configuration of WSN Links

Experimental Study for Multi-layer Parameter Configuration o...

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International conference on Distributed Computing systems

作者： Songwei Fu Yan Zhang Yuming Jiang Chengchen Hu Chia-Yen Shih Pedro José Marrón Networked Embedded Systems University of Duisburg-Essen Germany Department of Telematics Norwegian University of Science and Technology(NTNU) Norway

Many applications of wireless sensor networks (WSNs) need to balance multiple yet often conflicting performance requirements such as high energy efficiency, high throughput, low delay and low loss. Finding appropriate WSN parameter configuration to achieve the best trade-off requires in depth understanding of the joint effect of key parameters residing at different layers on the performance. In this paper, we present an extensive experimental study on the data delivery performance of aWSN link, where 4 major performance metrics, namely energy, throughput, delay and loss, were measured over 6 months under around 50 thousand parameter configurations of 7 key stack parameters. Different from existing work, rich observations are made out of the extensive measurement data, with the focus on the joint effect of these parameters on the performance. Specifically, for each of the four performance metrics, a set of guidelines is derived for parameter optimization. In addition, we propose empirical models for each performance metric to quantify the joint effects, which enable finding optimal settings for parameters such as payload size or retransmissions, in consideration of link quality and other parameter settings, to achieve better performance trade-offs. To demonstrate the potential of this work, the obtained joint parameter optimization results are applied to an example. the outcome is compared with those achieved by following representative single-parameter tuning guidelines from the literature. the comparison reveals that by considering the joint effect of multi-layer parameters together, a WSN application can obtain a much improved performance trade-off.

关键词： Signal to noise ratio Payloads Joints Wireless sensor networks Energy consumption Power generation Tuning

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A Novel Intelligent Parallel Parking System Based on Fuzzy Logic Without Using sensor

A Novel Intelligent Parallel Parking System Based on Fuzzy L...

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International conference of Signal Processing and Intelligent systems (ICSPIS)

作者： Eslaam Tavakoli Faezeh Ibrahimi Arezoo Alipanah Mehdi Delrobaei Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Faculty of Mechanical Engineering K. N. Toosi University of Technology Tehran Iran Western University London Canada

ISBN: (数字)9781728186290

ISBN: (纸本)9781728186306

the applications of intelligent systems have received a growing interest in the automobile industry. the car parking issue is one of the challenges for drivers, which can be solved by these smart systems. In this study, a new method for automatic parallel parking problems is proposed. the suggested method uses fuzzy inference to control, steer, and park the car in a tight space. Two parallel embedded fuzzy controllers have been designed to navigate the vehicle on the desired path. Unlike other studies that have used the error between developed and reference routes, the proposed method only uses the car's position data, similar to an experienced driver. there is no need to use the sensors to track the desired path in this method, but the car's kinematic model's output is the controllers' input. Based on the obtained results, the generated path by controllers is close to the desired track.

关键词： Fuzzy logic Kinematics Aerospace electronics Automobiles Intelligent systems Intelligent sensors Vehicles

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A compliant modular robotic hand with fabric force sensor for multiple versatile grasping modes

A compliant modular robotic hand with fabric force sensor fo...

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IEEE/RAS-EMBS International conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： J.H. Low W.W. Lee P.M. Khin S.L. Kukreja H.L. Ren N.V. thakor C.H. Yeow Department of Biomedical Engineering National University of Singapore Singapore Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Singapore Institute for Neurotechnology National University of Singapore Singapore Department of Biomedical Engineering Electrical and Computer Engineering and Neurology Johns Hopkins University United States Department of Electrical & Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781509032884

this paper presents the development of a compliant, modular, reconfigurable, and sensorized robotic hand with multiple grasping capabilities. Each finger consists of a soft pneumatic actuator with embedded fabric force sensor and a detachable casing. the casing has a through hole for housing the actuator and special connectors for attachment to other casings. One casing each from the thumb and finger parts has a protrusion for connecting both parts together via a screw tightening system. the through-hole design allows different grasping length to be achieved and the inflated pneumatic channel of the actuator locks it in place. the modular robotic hand is capable of various versatile grasping tasks by simply changing the bending direction of the actuator, the distance between the thumb and finger parts, the grasping length of the actuator, or attaching/detaching additional fingers to the hand. (1) Hook grasping with single finger, (2) pinching with pad opposition, (3) reverse grasping for holding a pipe-like object, (4) wrap grasping with palm opposition, as well as (5) picking up an object through its handle with one thumb and two or more fingers were illustrated. these studies show the capability of the compliant modular robotic hand in performing various types of grasping by simply using different configurations of the casings. the excellent payload-to-weight ratio of the robotic hand was demonstrated. Also, the fabric force sensor that was embedded in the soft actuator indicated the difference in grasping forces that were applied to different objects during hook grasping. the modular robotic hand has the potential to broaden or substitute the usage of existing robotic hands, especially in applications where soft versatile configurable grasping is desired.

关键词： Grasping Actuators thumb Robot sensing systems Fabrics

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Capricorn: Towards Real-Time Rich Scene Analysis Using RF-Vision sensor Fusion 22

Capricorn: Towards Real-Time Rich Scene Analysis Using RF-Vi...

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Proceedings of the 20th acm conference on embedded networked sensor systems

作者： Ziqi Wang Ankur Sarker Jason Wu Derek Hua Gaofeng Dong Akash Deep Singh Mani Srivastava University of California

ISBN: (纸本)9781450398862

Video scene analysis is a well-investigated area where researchers have devoted efforts to detect and classify people and objects in the scene. However, real-life scenes are more complex: the intrinsic states of the objects (e.g., machine operating states or human vital signals) are often overlooked by vision-based scene analysis. Recent work has proposed a radio frequency (RF) sensing technique, wireless vibrometry, that employs wireless signals to sense subtle vibrations from the objects and infer their internal states. We envision that the combination of video scene analysis with wireless vibrometry form a more comprehensive understanding of the scene, namely "rich scene analysis". However, the RF sensors used in wireless vibrometry only provide time series, and it is challenging to associate these time series data with multiple real-world objects. We propose a real-time RF-vision sensor fusion system, Capricorn, that efficiently builds a cross-modal correspondence between visual pixels and RF time series to better understand the complex natures of a scene. the vision sensors in Capricorn model the surrounding environment in 3D and obtain the distances of different objects. In the RF domain, the distance is proportional to the signal time-of-flight (ToF), and we can leverage the ToF to separate the RF time series corresponding to each object. the RF-vision sensor fusion in Capricorn brings multiple benefits. the vision sensors provide environmental contexts to guide the processing of RF data, which helps us select the most appropriate algorithms and models. Meanwhile, the RF sensor yields additional information that is originally invisible to vision sensors, providing insight into objects' intrinsic states. Our extensive evaluations show that Capricorn real-timely monitors multiple appliances' operating status with an accuracy of 97%+ and recovers vital signals like respirations from multiple people. A video (https://***/b-5nav3Fi78) demonstrates the capabil

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Open sensor network interface for U-City service platform 10

Open sensor network interface for U-City service platform

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Proceedings of the 8th acm conference on embedded networked sensor systems

作者： Jaechul Kim Sik Yu Youngjoon Kim Sukun Kim Jeonghoon Kang Hojung Lim Hyungseok Kim U-City Team SKCC Republic of Korea USN Team Sonnonet Republic of Korea U-Embedded Center Korea Electronics Technology Institute Republic of Korea Konkuk University Republic of Korea

ISBN: (纸本)9781450303446

U-City is a city where diverse public information is provided through IT technology. In the past, IT infrastructure for public information was not considered in city planning. However, in recent construction of new cities, this kind of infrastructure is becoming necessary. Safety, transportation, and weather information are gathered and provided to residents through the Internet, mobile devices, etc [1]. To provide this kind of information, local governments operates U-City control center, and there is an issue of increased operating cost of the city. To solve this problem, U-City business platform is designed which can incorporate diverse commercial services. Different from public information platform, a private sector can participate and provide services. this work suggests Business Service Platform (BSP) system structure where USN-based services can be provided in U-City business platform. then, USN-based service applications are introduced on U-City platform. Business Service Platform (BSP) is a service platform of U-City for services in a private sector, and provides overall functionalities required for the creation, distribution, and billing. A service provider for U-City can develop a new application using BSP. It can also register, distribute, and handle billing using functionalities of BSP. BSP started with a target advertisement service related to public transportation information as its initial service, however USN technology in diverse areas are expected to be applied to BSP in the future. To apply such diverse USN to BSP, a general framework should be provided to integrate USN, and a system is needed that each service provider can control. In this demo, we will explain U-City service platform, which will be deployed at CHEONGRA zone of Korea, and how it is integrated to USN to provide healthcare, smart grid services, and finally major system components.

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