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Identifying user traits by mining smart phone accelerometer data

https://doi.org/10.1145/2003653.2003660

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-29488-9openalex-snapshot

Human Identification Based on Gait

inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot

Data Mining: Practical Machine Learning Tools and Techniques

inferredcites →https://doi.org/10.1016/j.amepre.2005.02.007openalex-snapshot

Adolescent Patterns of Physical ActivityDifferences by Gender, Day, and Time of Day

inferredcites →https://doi.org/10.1016/j.clinbiomech.2003.10.003openalex-snapshot

Gender differences in three dimensional gait analysis data from 98 healthy Korean adults

inferredcites →https://doi.org/10.1016/j.jelekin.2004.12.003openalex-snapshot

Changing the texture of footwear can alter gait patterns

inferredcites →https://doi.org/10.1016/j.jvlc.2009.01.005openalex-snapshot

Group-specific face verification using soft biometrics

inferredcites →https://doi.org/10.1016/j.patrec.2005.08.018openalex-snapshot

Soft biometrics—combining body weight and fat measurements with fingerprint biometrics

inferredcites →https://doi.org/10.1016/s0966-6362(01)00199-0openalex-snapshot

Standing balance evaluation using a triaxial accelerometer

inferredcites →https://doi.org/10.1038/sj.ijo.0801856openalex-snapshot

A new accelerometric method to assess the daily walking practice

inferredcites →https://doi.org/10.1080/00140137108931260openalex-snapshot

Female Gait Patterns in Shoes with Different Heel Heights

inferredcites →https://doi.org/10.1080/00140138708969785openalex-snapshot

Female gait patterns: The influence of footwear

inferredcites →https://doi.org/10.1080/01639360903393515openalex-snapshot

Race/Ethnicity Differences in the Relationship Between Obesity and Gait Speed Among Older Americans

inferredcites →https://doi.org/10.1109/btas.2010.5634532openalex-snapshot

Cell phone-based biometric identification

inferredcites →https://doi.org/10.1109/icassp.2005.1415569openalex-snapshot

Identifying Users of Portable Devices from Gait Pattern with Accelerometers

inferredcites →https://doi.org/10.1109/icpr.1994.576213openalex-snapshot

Proceedings of 12th International Conference on Pattern Recognition

inferredcites →https://doi.org/10.1109/icpr.2002.1047474openalex-snapshot

Person identification using automatic height and stride estimation

inferredcites →https://doi.org/10.1117/12.542890openalex-snapshot

Can soft biometric traits assist user recognition?

inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot

Activity recognition using cell phone accelerometers

inferredcites →https://doi.org/10.1145/2003653.2003656openalex-snapshot

Design considerations for the WISDM smart phone-based sensor mining architecture

inferredcites →https://doi.org/10.1155/2009/415817openalex-snapshot

Gait Recognition Using Wearable Motion Recording Sensors

inferredcites →https://doi.org/10.3758/bf03208295openalex-snapshot

Temporal and spatial factors in gait perception that influence gender recognition

inferredcites →https://doi.org/10.4304/jcp.1.7.51-59openalex-snapshot

Biometric Gait Authentication Using Accelerometer Sensor

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Reality Mining: Privacy and Data Protection Dilemmas in the World of Perpetual Behavioral Monitoring

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Developing GDPR Compliant Apps for the Edge

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A Low-Power Context-Aware System for Smartphone Using Hierarchical Modular Bayesian Networks

inferred← citeshttps://doi.org/10.1007/978-3-319-98161-1_6openalex-snapshot

Opportunities and Risks of Delegating Sensing Tasks to the Crowd

inferred← citeshttps://doi.org/10.1007/978-3-642-38628-2_102openalex-snapshot

Physical Activity Recognition from Smartphone Embedded Sensors

inferred← citeshttps://doi.org/10.1007/978-3-642-55415-5_10openalex-snapshot

Styx: Design and Evaluation of a New Privacy Risk Communication Method for Smartphones

inferred← citeshttps://doi.org/10.1007/s10207-016-0340-2openalex-snapshot

On the efficiency of user identification: a system-based approach

inferred← citeshttps://doi.org/10.1007/s13369-021-05391-3openalex-snapshot

A New Approach for Human Recognition Through Wearable Sensor Signals

inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106586openalex-snapshot

A systematic approach to multi-task learning from time-series data

inferred← citeshttps://doi.org/10.1016/j.cose.2015.04.004openalex-snapshot

Styx: Privacy risk communication for the Android smartphone platform based on apps' data-access behavior patterns

inferred← citeshttps://doi.org/10.1016/j.eswa.2016.08.002openalex-snapshot

An on-device gender prediction method for mobile users using representative wordsets

inferred← citeshttps://doi.org/10.1016/j.eswa.2017.10.017openalex-snapshot

Gender classification in smartphones using gait information

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.06.029openalex-snapshot

Genders prediction from indoor customer paths by Levenshtein-based fuzzy kNN

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113195openalex-snapshot

Gender recognition using motion data from multiple smart devices

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116040openalex-snapshot

Gender recognition using optimal gait feature based on recursive feature elimination in normal walking

inferred← citeshttps://doi.org/10.1016/j.neucom.2017.01.124openalex-snapshot

Hierarchical modular Bayesian networks for low-power context-aware smartphone

inferred← citeshttps://doi.org/10.1016/j.pmcj.2011.09.002openalex-snapshot

Accelerometer-based on-body sensor localization for health and medical monitoring applications

inferred← citeshttps://doi.org/10.1093/oxfordhb/9780197653609.013.24openalex-snapshot

Gender, Sex, and the Constraints of Machine Learning Methods

inferred← citeshttps://doi.org/10.1109/access.2019.2901959openalex-snapshot

Move Your Body: Age Estimation Based on Chest Movement During Normal Walk

inferred← citeshttps://doi.org/10.1109/btas.2017.8272709openalex-snapshot

Tracking user information using motion data through smartphones

inferred← citeshttps://doi.org/10.1109/cvprw.2014.20openalex-snapshot

Context-Aware Active Authentication Using Smartphone Accelerometer Measurements

inferred← citeshttps://doi.org/10.1109/dsaa.2016.89openalex-snapshot

Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being

inferred← citeshttps://doi.org/10.1109/ibcast.2016.7429906openalex-snapshot

Biometric authentication technique using smartphone sensor

inferred← citeshttps://doi.org/10.1109/icctict.2016.7514649openalex-snapshot

Investigating gender recognition in smartphones using accelerometer and gyroscope sensor readings

inferred← citeshttps://doi.org/10.1109/iecon.2018.8591193openalex-snapshot

Continuous User Authentication in Smartphones Using Gait Analysis

inferred← citeshttps://doi.org/10.1109/percomw.2016.7457154openalex-snapshot

Activity Recognition on Smartphones: Efficient Sampling Rates and Window Sizes

inferred← citeshttps://doi.org/10.1109/tcss.2024.3488694openalex-snapshot

Quantitative Estimation of Human Height and Weight Using Motion Data From Multiple Smart Devices

inferred← citeshttps://doi.org/10.1145/2971648.2971707openalex-snapshot

Differentiating smartphone users by app usage

inferred← citeshttps://doi.org/10.1145/3152832.3152844openalex-snapshot

A dataset for activity recognition in an unmodified kitchen using smart-watch accelerometers

inferred← citeshttps://doi.org/10.1145/3167132.3167234openalex-snapshot

Deep feature learning and selection for activity recognition

inferred← citeshttps://doi.org/10.1145/3264948openalex-snapshot

Your Apps Give You Away

inferred← citeshttps://doi.org/10.1145/3267305.3274151openalex-snapshot

IoT App Development

inferred← citeshttps://doi.org/10.1145/3309074.3309076openalex-snapshot

Privacy implications of accelerometer data

inferred← citeshttps://doi.org/10.1145/3356250.3361939openalex-snapshot

Side channel attack on smartphone sensors to infer gender of the user

inferred← citeshttps://doi.org/10.1145/3384613.3384642openalex-snapshot

Personal Attributes Identification based on Gait Recognition using Smart Phone Sensors

inferred← citeshttps://doi.org/10.1145/3469261.3469407openalex-snapshot

Surprising Privacy Threats from Innocuous Sensors

inferred← citeshttps://doi.org/10.1145/3529753openalex-snapshot

Data Mining on Smartphones: An Introduction and Survey

inferred← citeshttps://doi.org/10.1155/2015/902982openalex-snapshot

Emergent Technologies in Big Data Sensing: A Survey

inferred← citeshttps://doi.org/10.1186/s13677-026-00916-3openalex-snapshot

Semantic neighbor swapping for privacy-aware edge-cloud inference

inferred← citeshttps://doi.org/10.1371/journal.pone.0207112openalex-snapshot

What demographic attributes do our digital footprints reveal? A systematic review

inferred← citeshttps://doi.org/10.17341/gazimmfd.426259openalex-snapshot

Sensör işaretlerinden cinsiyet tanıma için yerel ikili örüntüler tabanlı yeni yaklaşımlar

inferred← citeshttps://doi.org/10.2197/ipsjjip.24.237openalex-snapshot

Estimating Physical Characteristics with Body-worn Accelerometers Based on Activity Similarities

inferred← citeshttps://doi.org/10.3390/app112412099openalex-snapshot

Human Activity Recognition Using Cell Phone-Based Accelerometer and Convolutional Neural Network

inferred← citeshttps://doi.org/10.3390/s20041134openalex-snapshot

Motion-To-BMI: Using Motion Sensors to Predict the Body Mass Index of Smartphone Users

inferred← citeshttps://doi.org/10.6007/ijarbss/v9-i14/6501openalex-snapshot

Discussion: Smartphone Authentication from Offline Remote Server

inferred← citeshttps://doi.org/10.70675/3489e7d0zcb01z432ezb5d0z825c122d3b74openalex-snapshot

Detecting inference attacks involving sensor data

inferred← citeshttps://doi.org/10.7838/jsebs.2016.21.1.147openalex-snapshot

A Study on Method for User Gender Prediction Using Multi-Modal Smart Device Log Data

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