FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas
We developed a contactless syndromic surveillance platform FluSense that aims to expand the current paradigm of influenza-like illness (ILI) surveillance by capturing crowd-level bio-clinical signals directly related to physical symptoms of ILI from ...
CARIN: Wireless CSI-based Driver Activity Recognition under the Interference of Passengers
Recent studies have proposed to use the Channel State Information (CSI) of WiFi wireless channel for human gesture recognition. As an important application, CSI-based driver activity recognition in passenger vehicles has received increasing research ...
Assumptions Checked: How Families Learn About and Use the Echo Dot
- Erin Beneteau,
- Yini Guan,
- Olivia K. Richards,
- Mingrui Ray Zhang,
- Julie A. Kientz,
- Jason Yip,
- Alexis Hiniker
Users of voice assistants often report that they fall into patterns of using their device for a limited set of interactions, like checking the weather and setting alarms. However, it's not clear if limited use is, in part, due to lack of learning about ...
SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors
- Soujanya Chatterjee,
- Alexander Moreno,
- Steven Lloyd Lizotte,
- Sayma Akther,
- Emre Ertin,
- Christopher P Fagundes,
- Cho Lam,
- James M. Rehg,
- Neng Wan,
- David W. Wetter,
- Santosh Kumar
Context plays a key role in impulsive adverse behaviors such as fights, suicide attempts, binge-drinking, and smoking lapse. Several contexts dissuade such behaviors, but some may trigger adverse impulsive behaviors. We define these latter contexts as '...
METIER: A Deep Multi-Task Learning Based Activity and User Recognition Model Using Wearable Sensors
Activity recognition (AR) and user recognition (UR) using wearable sensors are two key tasks in ubiquitous and mobile computing. Currently, they still face some challenging problems. For one thing, due to the variations in how users perform activities, ...
Silver Tape: Inkjet-Printed Circuits Peeled-and-Transferred on Versatile Substrates
- Tingyu Cheng,
- Koya Narumi,
- Youngwook Do,
- Yang Zhang,
- Tung D. Ta,
- Takuya Sasatani,
- Eric Markvicka,
- Yoshihiro Kawahara,
- Lining Yao,
- Gregory D. Abowd,
- HyunJoo Oh
We propose Silver Tape, a simple yet novel fabrication technique to transfer inkjet-printed silver traces from paper onto versatile substrates, without time-/space- consuming processes such as screen printing or heat sintering. This allows users to ...
Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones
There has been an increasing interest in the problem of inferring emotional states of individuals using sensor and user-generated information as diverse as GPS traces, social media data and smartphone interaction patterns. One aspect that has received ...
The StoryTeller: Scalable Building- and AP-independent Deep Learning-based Floor Prediction
Due to the recent proliferation of location-based services indoors, the need for an accurate floor estimation technique that is easy to deploy in any typical multi-story building is higher than ever. Current approaches that attempt to solve the floor ...
PrivateBus: Privacy Identification and Protection in Large-Scale Bus WiFi Systems
Recently, the ubiquity of mobile devices leads to an increasing demand of public network services, e.g., WiFi hot spots. As a part of this trend, modern transportation systems are equipped with public WiFi devices to provide Internet access for ...
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning
With the popularity of mobile devices and location-based social network, understanding and modelling the human mobility becomes an important topic in the field of ubiquitous computing. With the model developing from personal models with own information ...
He Is Just Like Me: A Study of the Long-Term Use of Smart Speakers by Parents and Children
Over the past few years, the technological vision of the HCI and UbiComp communities regarding conversational devices has become manifest in the form of smart speakers such as Google Home and Amazon Echo. Even though millions of households have adopted ...
Mobile Device Batteries as Thermometers
The ability to sense ambient temperature pervasively, albeit crucial for many applications, is not yet available, causing problems such as degraded indoor thermal comfort and unexpected/premature shutoffs of mobile devices. To enable pervasive sensing ...
Soil-Monitoring Sensor Powered by Temperature Difference between Air and Shallow Underground Soil
Energy harvesting (EH) technologies are useful for the semi-permanent operation of wireless sensor networks, especially, for agricultural monitoring as the networks need to be installed in large areas where power supply is unavailable. In this paper, we ...
Interruptibility for In-vehicle Multitasking: Influence of Voice Task Demands and Adaptive Behaviors
As a countermeasure to visual-manual distractions, auditory-verbal (voice) interfaces are becoming increasingly popular for in-vehicle systems. This opens up new opportunities for drivers to receive proactive personalized services from various service ...
A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System
In this study, we investigate the effects of social context, personal and mobile phone usage on the inference of work engagement/challenge levels of knowledge workers and their responsiveness to well-being related notifications. Our results show that ...
Using Sonar for Liveness Detection to Protect Smart Speakers against Remote Attackers
- Yeonjoon Lee,
- Yue Zhao,
- Jiutian Zeng,
- Kwangwuk Lee,
- Nan Zhang,
- Faysal Hossain Shezan,
- Yuan Tian,
- Kai Chen,
- XiaoFeng Wang
Smart speakers, which wait for voice commands and complete tasks for users, are becoming part of common households. While voice commands came with basic functionalities in the earlier days, as the market grew, various commands with critical ...
How Does Fitbit Measure Brainwaves: A Qualitative Study into the Credibility of Sleep-tracking Technologies
Consumer sleep-tracking devices provide an unobtrusive and affordable way to learn about personal sleep habits. Recent research focused primarily on the information provided by such devices, i.e., whether the information is accurate and meaningful to ...
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
With the recent proliferation of mobile health technologies, health scientists are increasingly interested in developing just-in-time adaptive interventions (JITAIs), typically delivered via notifications on mobile devices and designed to help users ...
GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion
The paper enhances deep-neural-network-based inference in sensing applications by introducing a lightweight attention mechanism called the global attention module for multi-sensor information fusion. This mechanism is capable of utilizing information ...
Designing and Evaluating Hand-to-Hand Gestures with Dual Commodity Wrist-Worn Devices
Hand gestures provide a natural and easy-to-use way to input commands. However, few works have studied the design space of bimanual hand gestures or attempted to infer gestures that involve devices on both hands. We explore the design space of hand-to-...
D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems
The future of urban mobility is expected to be shared and electric. It is not only a more sustainable paradigm that can reduce emissions, but can also bring societal benefits by offering a more affordable on-demand mobility option to the general public. ...
Teacher Tracking with Integrity: What Indoor Positioning Can Reveal About Instructional Proxemics
- Roberto Martinez-Maldonado,
- Katerina Mangaroska,
- Jurgen Schulte,
- Doug Elliott,
- Carmen Axisa,
- Simon Buckingham Shum
Automatic tracking of activity and location in the classroom is becoming increasingly feasible and inexpensive. However, although there is a growing interest in creating classrooms embedded with tracking capabilities using computer vision and wearables, ...
Predicting Brain Functional Connectivity Using Mobile Sensing
- Mikio Obuchi,
- Jeremy F. Huckins,
- Weichen Wang,
- Alex daSilva,
- Courtney Rogers,
- Eilis Murphy,
- Elin Hedlund,
- Paul Holtzheimer,
- Shayan Mirjafari,
- Andrew Campbell
Brain circuit functioning and connectivity between specific regions allow us to learn, remember, recognize and think as humans. In this paper, we ask the question if mobile sensing from phones can predict brain functional connectivity. We study the ...
Liquid Level Sensing Using Commodity WiFi in a Smart Home Environment
The popularity of Internet-of-Things (IoT) has provided us with unprecedented opportunities to enable a variety of emerging services in a smart home environment. Among those services, sensing the liquid level in a container is critical to building many ...
Dynamic Public Resource Allocation Based on Human Mobility Prediction
The objective of public resource allocation, e.g., the deployment of billboards, surveillance cameras, base stations, trash bins, is to serve more people. However, due to the dynamics of human mobility patterns, people are distributed unevenly on the ...
mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave Signals
Home assistant devices such as Amazon Echo and Google Home have become tremendously popular in the last couple of years. However, due to their voice-controlled functionality, these devices are not accessible to Deaf and Hard-of-Hearing (DHH) people. ...
UbiquiTouch: Self Sustaining Ubiquitous Touch Interfaces
- Anandghan Waghmare,
- Qiuyue Xue,
- Dingtian Zhang,
- Yuhui Zhao,
- Shivan Mittal,
- Nivedita Arora,
- Ceara Byrne,
- Thad Starner,
- Gregory D Abowd
We present UbiquiTouch, an ultra low power wireless touch interface. With an average power consumption of 30.91μW, UbiquiTouch can run on energy harvested from ambient light. It achieves this performance through low power touch sensing and passive ...
FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric Taxi Fleets
Our society is witnessing a rapid taxi electrification process. Compared to conventional gas taxis, a key drawback of electric taxis is their prolonged charging time, which potentially reduces drivers' daily operation time and income. In addition, ...
Will Online Digital Footprints Reveal Your Relationship Status?: An Empirical Study of Social Applications for Sexual-Minority Men
With the increasing social acceptance and openness, more and more sexual-minority men (SMM) have succeeded in creating and sustaining steady relationships in recent years. Maintaining steady relationships is beneficial to the wellbeing of SMM both ...
AssessBlocks: Exploring Toy Block Play Features for Assessing Stress in Young Children after Natural Disasters
Natural disasters cause long-lasting mental health problems such as PTSD in children. Following the 2011 Earthquake and Tsunami in Japan, we witnessed a shift of toy block play behavior in young children who suffered from stress after the disaster. The ...