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Image Search Results
Journal: Sensors (Basel, Switzerland)
Article Title: Hardware for Recognition of Human Activities: A Review of Smart Home and AAL Related Technologies
doi: 10.3390/s20154227
Figure Lengend Snippet: Characterization of wearable technology used in selected papers.
Article Snippet: Google Glass-based + Head tracking device +
Techniques: Activity Assay
Journal: Journal of Cognitive Engineering and Decision Making
Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments
doi: 10.1177/1555343417716040
Figure Lengend Snippet: Specifications of the E3, emWave Pro, and BioPatch Sensors
Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the
Techniques: Sampling, Software, Extraction
Journal: Journal of Cognitive Engineering and Decision Making
Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments
doi: 10.1177/1555343417716040
Figure Lengend Snippet: E3 wristband from Empatica.
Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the
Techniques:
Journal: Journal of Cognitive Engineering and Decision Making
Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments
doi: 10.1177/1555343417716040
Figure Lengend Snippet: Heart Rate Variability Parameters for the E3, emWave, and BioPatch for Phases 1–4 (Mean ± SD )
Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the
Techniques:
Journal: Journal of Cognitive Engineering and Decision Making
Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments
doi: 10.1177/1555343417716040
Figure Lengend Snippet: Heart Rate Variability Parameters for the E3, emWave, and BioPatch for Phases 6–8 (Mean ± SD )
Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the
Techniques:
Journal: Journal of Cognitive Engineering and Decision Making
Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments
doi: 10.1177/1555343417716040
Figure Lengend Snippet: Mean difference between R-wave occurrence times (RR) with standard deviations of the E3, emWave (eW), and BioPatch (BP) in each phase (P).
Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the
Techniques:
Journal: Journal of Cognitive Engineering and Decision Making
Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments
doi: 10.1177/1555343417716040
Figure Lengend Snippet: Normalized lower-frequency (LF) values with standard deviations of the E3, emWave (eW), and BioPatch (BP) in each phase (P).
Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the
Techniques: