Linganisha mbinu

	Ukusanyaji wa Data wa Kihisi kwa Njia ya Simu	Ukusanyaji wa Data kwa Kutumia Viisimu vya Simu
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2000s–2010s (aligned with smartphone proliferation)	Mid-2000s (smartphone-era formalization ~2006–2010)
Mwanzilishi	Emerging from ubiquitous computing and digital health research communities; no single originator	Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing
Aina	Passive and active data collection via telephone/smartphone sensors	Passive and active quantitative data collection technique
Chanzo asilia	Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48(9), 140–150.	Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48(9), 140–150.
Majina mbadala	phone-based sensor data collection, telephone-mediated sensor monitoring, mobile phone sensor data collection, TASDC	mobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection
Zinazohusiana	5	4
Muhtasari	Telephone-assisted sensor data collection uses participants' mobile phones as sensing platforms to gather continuous or triggered streams of physical and behavioral data — such as movement, location, and ambient sound — without requiring them to attend a lab. A research application installed on the phone captures sensor readings and transmits them to a central server, enabling large-scale, ecologically valid measurement of real-world behavior over days or weeks.	Mobile sensor data collection uses the built-in sensors of smartphones, tablets, or wearable devices to capture behavioral, physiological, and environmental data in real-world settings. Sensors such as accelerometers, GPS, heart rate monitors, ambient light detectors, and microphones record data passively or on demand, enabling researchers to study human behavior with high temporal resolution outside the laboratory.