NDLI: Enhancing mobile apps to use sensor hubs without programmer effort

Please wait, while we are loading the content...

Visualizing and manipulating brain dynamics

SoQr: sonically quantifying the content level inside containers

Object hallmarks: identifying object users using wearable wrist sensors

SymDetector: detecting sound-related respiratory symptoms using smartphones

HyperCam: hyperspectral imaging for ubiquitous computing applications

EnTrack: a system facility for analyzing energy consumption of Android system services

From computational thinking to computational making

DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning

Dancing with horses: automated quality feedback for dressage riders

Physical media covert channels on smart mobile devices

Low-power pervasive wi-fi connectivity using WiScan

A comparison of artificial driving sounds for automated vehicles

cStress: towards a gold standard for continuous stress assessment in the mobile environment

Forecasting urban dynamics with mobility logs by bilinear Poisson regression

Tiny habits in the giant enterprise: understanding the dynamics of a quantified workplace

Activity tracking: barriers, workarounds and customisation

More with less: lowering user burden in mobile crowdsourcing through compressive sensing

MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones

Learning from the experts: enabling and studying DIY development of location-based visitor experiences

Interruptibility prediction for ubiquitous systems: conventions and new directions from a growing field

Social (media) jet lag: how usage of social technology can modulate and reflect circadian rhythms

Transferring positioning model for device-free passive indoor localization

COBWEB: a robust map update system using GPS trajectories

Household occupancy monitoring using electricity meters

Attitudes toward vehicle-based sensing and recording

Harvesting green miles from my roof: an investigation into self-sufficient mobility with electric vehicles

Using text mining to infer the purpose of permission use in mobile apps

Exploring feedback strategies to improve public speaking: an interactive virtual audience framework

ZapDroid: managing infrequently used applications on smartphones

An in-the-wild study of learning mid-air gestures to browse hierarchical information at a large interactive public display

Mobile activity recognition for a whole day: recognizing real nursing activities with big dataset

Behind the scenes

MagnifiSense: inferring device interaction using wrist-worn passive magneto-inductive sensors

Landmark identification with wearables for supporting spatial awareness by blind persons

Evaluating tooth brushing performance with smartphone sound data

Reading between lines: high-rate, non-intrusive visual codes within regular videos via ImplicitCode

Prime: a framework for co-located multi-device apps

Supporting reflection through play: field testing the home trivia system

SmartGPA: how smartphones can assess and predict academic performance of college students

Designing an emergency communication system for human and assistance dog partnerships

Knock x knock: the design and evaluation of a unified authentication management system

Sandra helps you learn: the more you walk, the more battery your phone drains

"If god gives me the chance i will design my own phone": exploring mobile phone repair and postcolonial approaches to design in rural Kenya

Visualization of time-series sensor data to inform the design of just-in-time adaptive stress interventions

Hybrid participatory sensing for analyzing group dynamics in the largest annual religious gathering

Wearables in the wet lab: a laboratory system for capturing and guiding experiments

When fitness trackers don't 'fit': end-user difficulties in the assessment of personal tracking device accuracy

A field study comparing approaches to collecting annotated activity data in real-world settings

Mindless computing: designing technologies to subtly influence behavior

Connecting the things to the internet: an evaluation of four configuration strategies for wi-fi devices with minimal user interfaces

Designing content-driven intelligent notification mechanisms for mobile applications

Need accurate user behaviour?: pay attention to groups!

Calibration-free fusion of step counter and wireless fingerprints for indoor localization

Non-obstructive room-level locating system in home environments using activity fingerprints from smartwatch

PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization

A practical approach for recognizing eating moments with wrist-mounted inertial sensing

EVHomeShifter: evaluating intelligent techniques for using electrical vehicle batteries to shift when homes draw energy from the grid

AnonyCast: privacy-preserving location distribution for anonymous crowd tracking systems

Beyond activity recognition: skill assessment from accelerometer data

Revisitation analysis of smartphone app use

A laboratory-based study methodology to investigate attraction power of large public interactive displays

Mining consumer impulsivity from offline and online behavior

MyoVibe: vibration based wearable muscle activation detection in high mobility exercises

Discovery of everyday human activities from long-term visual behaviour using topic models

SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors

Printing multi-key touch interfaces

Supporting mental model accuracy in trigger-action programming

Getting quizzical about physical: observing experiences with a tangible questionnaire

IDyLL: indoor localization using inertial and light sensors on smartphones

Diri - the actuated helium balloon: a study of autonomous behaviour in interfaces

Checksum gestures: continuous gestures as an out-of-band channel for secure pairing

Experiences with eNav: a low-power vehicular navigation system

Reducing users' perceived mental effort due to interruptive notifications in multi-device mobile environments

Using physiological sensors to detect levels of user frustration induced by system delays

CityMomentum: an online approach for crowd behavior prediction at a citywide level

Pick from here!: an interactive mobile cart using in-situ projection for order picking

Why we use and abandon smart devices

CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing

A lived informatics model of personal informatics

User experience in do-it-yourself-style smart homes

When attention is not scarce - detecting boredom from mobile phone usage

FamiLync: facilitating participatory parental mediation of adolescents' smartphone use

You're where? prove it!: towards trusted indoor location estimation of mobile devices

WISDOM: an efficient framework of predicting WLAN availability with cellular fingerprints

puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation

Let's (not) stick together: pairwise similarity biases cross-validation in activity recognition

The potential and challenges of inferring thermal comfort at home using commodity sensors

Spatial subterfuge: an experience sampling study to predict deceptive location disclosures

ROC speak: semi-automated personalized feedback on nonverbal behavior from recorded videos

A mixed-methods study of mobile users' data usage practices in South Africa

GlobalFestival: evaluating real world interaction on a spherical display

Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis

DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar

Quantifying reading habits: counting how many words you read

RunBuddy: a smartphone system for running rhythm monitoring

Interconnection and double layer for flexible electronic circuit with instant inkjet circuits

Enhancing mobile apps to use sensor hubs without programmer effort

Evaluating smartphone-based user interface designs for a 2D psychological questionnaire

Monitoring building door events using barometer sensor in smartphones

Drone & me: an exploration into natural human-drone interaction

One-button recognizer: exploiting button pressing behavior for user differentiation

Self-localizing battery-free cameras

L'evolved: autonomous and ubiquitous utilities as smart agents

Towards a mobile and wearable system for predicting panic attacks

Bike sharing station placement leveraging heterogeneous urban open data

From research to industry: interactive mobile services for accelerating logistics processes

No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist

SakuraSensor: quasi-realtime cherry-lined roads detection through participatory video sensing by cars

Personalization revisited: a reflective approach helps people better personalize health services and motivates them to increase physical activity

ConductAR: an augmented reality based tool for iterative design of conductive ink circuits

Boredom-computer interaction: boredom proneness and the use of smartphone

Who should I invite for my party?: combining user preference and influence maximization for social events

PinPlace: associate semantic meanings with indoor locations without active fingerprinting

Enhancing wifi-based localization with visual clues

Improved activity recognition by using enriched acceleration data

I did not smoke 100 cigarettes today!: avoiding false positives in real-world activity recognition

A model-based approach to support smart and social home living

How private can i be among public users?

Vowel shapes: an open-source, interactive tool to assist singers with learning vowels

Understanding usage states on mobile devices

Analyzing visual attention during whole body interaction with public displays

How do we engage with activity trackers?: a longitudinal study of Habito

Enhancing mobile apps to use sensor hubs without programmer effort

Content Provider	ACM Digital Library
Author	LaMarca, Anthony Shen, Haichen Wetherall, David Balasubramanian, Aruna
Abstract	Always-on continuous sensing apps drain the battery quickly because they prevent the main processor from sleeping. Instead, sensor hub hardware, available in many smartphones today, can run continuous sensing at lower power while keeping the main processor idle. However, developers have to divide functionality between the main processor and the sensor hub. We implement MobileHub, a system that automatically rewrites applications to leverage the sensor hub without additional programming effort. MobileHub uses a combination of dynamic taint tracking and machine learning to learn when it is safe to leverage the sensor hub without affecting application semantics. We implement MobileHub in Android and prototype a sensor hub on a 8-bit AVR micro-controller. We experiment with 20 applications from Google Play. Our evaluation shows that MobileHub significantly reduces power consumption for continuous sensing apps.
Starting Page	227
Ending Page	238
Page Count	12
File Format	PDF
ISBN	9781450335744
DOI	10.1145/2750858.2804260
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mobile sensing Sensor hub Energy-efficiency Machine learning Dynamic taint tracking
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in