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گردآوری داده‌های حسگر×یادداشت‌های میدانی×
حوزهروش‌شناسی پیمایشروش‌شناسی پیمایش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1990s–2000s (widespread deployment with IoT ~2000s)Late 19th century (formalized in 20th century)
پدیدآورMultidisciplinary; sensor networks formalized in engineering and computer science from the 1990s onwardRooted in 19th-century anthropology and sociology; systematized by ethnographers such as Bronislaw Malinowski and later Robert Emerson et al.
نوعQuantitative / mixed data collection techniqueQualitative data collection and recording technique
منبع بنیادینChong, C.-Y., & Kumar, S. P. (2003). Sensor networks: Evolution, opportunities, and challenges. Proceedings of the IEEE, 91(8), 1247–1256. DOI ↗Emerson, R. M., Fretz, R. I., & Shaw, L. L. (1995). Writing Ethnographic Fieldnotes. University of Chicago Press. ISBN: 978-0226206813
نام‌های دیگرsensor measurement, instrumented data collection, physical sensor logging, IoT data collectionfieldnotes, observational notes, ethnographic notes, jottings
مرتبط56
خلاصهSensor data collection uses physical or digital instruments to automatically capture quantitative measurements from the environment, human bodies, or machines over time. Common sensors measure temperature, motion, heart rate, location, light, sound, or chemical properties. Because the recording is automated and continuous, the method can produce high-frequency datasets with minimal researcher burden, making it central to IoT, environmental monitoring, wearable research, and behavioral studies.Field notes are detailed written records created by researchers during or immediately after direct observation in a naturalistic setting. They capture what is seen, heard, and experienced — including behaviors, interactions, physical environments, and the researcher's own analytic impressions — forming the primary data source for ethnographic and observational studies.
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Sensor Data Collection · Field Notes. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare