Amanote Research

Amanote Research

    RegisterSign In

Modeling Signal Strength of Body-Worn Devices

doi 10.1109/lcn.2010.5735712
Full Text
Open PDF
Abstract

Available in full text

Date

October 1, 2010

Authors
Alexander KurusingalAshay DhamdhereVijay Sivaraman
Publisher

IEEE


Related search

Can Body-Worn Devices Be Used for Measuring Personal Exposure to Mm Waves?

Bioelectromagnetics
Nuclear MedicineRadiologyBiophysicsImagingMedicinePhysiology
2017English

Study on Small-Signal Modeling of GaN HEMT Devices

DEStech Transactions on Computer Science and Engineering
2018English

Postcolonialism, Time, and Body-Worn Cameras

Surveillance & Society
Safety ResearchUrban Studies
2019English

Automated Policing: The Case of Body-Worn Video

International Journal of Law in Context
Law
2019English

Linear Dynamic Space Mapping Approach for Large-Signal Statistical Modeling of Microwave Devices

English

Characterizing and Modeling the Impact of Wireless Signal Strength on Smartphone Battery Drain

Performance Evaluation Review
HardwareComputer NetworksSoftwareArchitectureCommunications
2013English

Characterizing and Modeling the Impact of Wireless Signal Strength on Smartphone Battery Drain

2013English

Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Multimodal Recognition of Reading Activity in Transit Using Body-Worn Sensors

ACM Transactions on Applied Perception
Theoretical Computer ScienceComputer ScienceExperimentalCognitive Psychology
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy