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A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Long-Term Evaluation of Sensing Modalities for Activity Recognition
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Automatic Annotation of Daily Activity from Smartphone-Based Multisensory Streams
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Wireless Blood Pressure Monitoring with a Novel Implantable Device: Long-Term In Vivo Results
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Approximating Min Sum Set Cover
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Physical Performance Measures as Predictors of Mortality in a Cohort of Community-dwelling Older French Women
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Distinctive patterns of cortical excitability to transcranial magnetic stimulation in obstructive sleep apnea syndrome, restless legs syndrome, insomnia, and sleep deprivation
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Performance-Based Functional Assessment in Older Hospitalized Patients: Feasibility and Clinical Correlates
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On the Functional Aspects of Variability in Postural Control
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Wearable motion sensors to continuously measure real-world physical activities
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Patient-centric on-body sensor localization in smart health systems
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Proceedings of Custom Integrated Circuits Conference
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A Batteryless Vibration-based Energy Harvesting System for Ultra Low Power Ubiquitous Applications
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Cell-based sensor network for complex monitoring at home of patients with chronic diseases
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Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS circuits
inferredcites →https://doi.org/10.1109/jsac.2009.090107openalex-snapshot
Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks
inferredcites →https://doi.org/10.1109/jssc.2009.2035551openalex-snapshot
A Wireless and Batteryless 10-Bit Implantable Blood Pressure Sensing Microsystem With Adaptive RF Powering for Real-Time Laboratory Mice Monitoring
inferredcites →https://doi.org/10.1109/jssc.2012.2221217openalex-snapshot
A Batteryless 19 $\mu$W MICS/ISM-Band Energy Harvesting Body Sensor Node SoC for ExG Applications
inferredcites →https://doi.org/10.1109/mprv.2010.1openalex-snapshot
A Low-Power, Battery-Free Tag for Body Sensor Networks
inferredcites →https://doi.org/10.1109/mspec.2007.4337656openalex-snapshot
Helmets Sense The Hard Knocks [News]
inferredcites →https://doi.org/10.1109/percomw.2015.7133994openalex-snapshot
Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema
inferredcites →https://doi.org/10.1109/sensor.2009.5285822openalex-snapshot
A wireless batteryless in vivo EKG and body temperature sensing microsystem with adaptive RF powering for genetically engineered mice monitoring
inferredcites →https://doi.org/10.1109/sice.2006.314726openalex-snapshot
Batteryless Accelerometer Using Power Feeding System of RFID
inferredcites →https://doi.org/10.1109/surv.2012.110112.00192openalex-snapshot
A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/tbcas.2010.2041350openalex-snapshot
The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface
inferredcites →https://doi.org/10.1109/tbme.2009.2036732openalex-snapshot
Unobtrusive and Ubiquitous In-Home Monitoring: A Methodology for Continuous Assessment of Gait Velocity in Elders
inferredcites →https://doi.org/10.1109/tbme.2012.2223465openalex-snapshot
A Novel Approach to Reducing Number of Sensing Units for Wearable Gait Analysis Systems
inferredcites →https://doi.org/10.1109/tii.2010.2089990openalex-snapshot
Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees
inferredcites →https://doi.org/10.1109/titb.2009.2028421openalex-snapshot
A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors
inferredcites →https://doi.org/10.1109/titb.2009.2036722openalex-snapshot
Structural Action Recognition in Body Sensor Networks: Distributed Classification Based on String Matching
inferredcites →https://doi.org/10.1109/tpami.2009.204openalex-snapshot
Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching
inferredcites →https://doi.org/10.1109/tpami.2011.36openalex-snapshot
Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors
inferredcites →https://doi.org/10.1145/1409635.1409638openalex-snapshot
Discovery of activity patterns using topic models
inferredcites →https://doi.org/10.1145/2501626.2501636openalex-snapshot
Ultra low-power signal processing in wearable monitoring systems
inferredcites →https://doi.org/10.1145/2638728.2641313openalex-snapshot
Cost-sensitive feature selection for on-body sensor localization
inferredcites →https://doi.org/10.1155/2014/617495openalex-snapshot
Usability Study of a Wireless Monitoring System among Alzheimer’s Disease Elderly Population
inferredcites →https://doi.org/10.3109/09638288.2012.683479openalex-snapshot
Validity and variability of the 5-repetition sit-to-stand test in patients with multiple sclerosis
inferredcites →https://doi.org/10.3390/s140304618openalex-snapshot
Feasibility Study of a Wearable System Based on a Wireless Body Area Network for Gait Assessment in Parkinson’s Disease Patients
inferredcites →https://doi.org/10.3850/9783981537079_0883openalex-snapshot
A Machine Learning Approach for Medication Adherence Monitoring Using Body-Worn Sensors
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.313-314.1188openalex-snapshot
A Speed-Up Way of Template Matching Using Normalized Cross-Correlation
inferredcites →https://doi.org/10.4028/www.scientific.net/ast.85.28openalex-snapshot
Wearable Inertia Sensor Application in the Rehabilitation Field
inferredcites →https://doi.org/10.4108/icst.pervasivehealth.2012.248643openalex-snapshot
Operationalizing a wireless wearable fall detection sensor for older adults
inferredcites →https://doi.org/10.5772/57788openalex-snapshot
On the Design of a Wearable Multi-sensor System for Recognizing Motion Modes and Sit-to-stand Transition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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IoT: Architecture, Technology, Applications, and Quality of Services
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SmartSock: A wearable platform for context-aware assessment of ankle edema
inferred← citeshttps://doi.org/10.1109/icccnt45670.2019.8944512openalex-snapshot
Human Activity Recognition Using Accelerometer, Gyroscope and Magnetometer Sensors: Deep Neural Network Approaches
inferred← citeshttps://doi.org/10.1109/iccd.2016.7753320openalex-snapshot
CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors
inferred← citeshttps://doi.org/10.1109/icoei.2019.8862610openalex-snapshot
A Statistical and Deep Learning Approach for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jbhi.2017.2709333openalex-snapshot
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data
inferred← citeshttps://doi.org/10.1109/jstsp.2016.2569472openalex-snapshot
A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors
inferred← citeshttps://doi.org/10.1109/tmc.2016.2616403openalex-snapshot
Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment
inferred← citeshttps://doi.org/10.1145/3319370openalex-snapshot
Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data
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Optimization of the Enterprise Human Resource Management Information System Based on the Internet of Things
inferred← citeshttps://doi.org/10.3390/a18100617openalex-snapshot
Hardware–Software Co-Design Architecture for Real-Time EMG Feature Processing in FPGA-Based Prosthetic Systems
inferred← citeshttps://doi.org/10.3390/s19235206openalex-snapshot
Step by Step Towards Effective Human Activity Recognition: A Balance between Energy Consumption and Latency in Health and Wellbeing Applications
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