The Personalized Thermal Comfort Prediction Using an MH-LSTM Neural Network Method

Table 2

Information of measurement instruments.

No.	Instrument	Parameter	Measuring range	Accuracy	Interval	Variables
1	Thermal comfort level recorder	—	−3 to 3	—	5 min	Target value
2	Temperature recorder (DHT22)	Ta	−40 to 80	±0.5	2 s	Indoor environment data
3	Humidity recorder (DHT22)	RH (%)	0–100	±2	2 s	Indoor environment data
4	Temperature recorder (DHT22)	Ta	−40 to 80	±0.5	2 s	Indoor environment data
5	Humidity recorder (DHT22)	RH (%)	0–100	±2	2 s	Indoor environment data
6	Skin thermometer	°C	−40 to 80	±0.5	1 s	Biometric data
7	Skin thermometer	°C	−40 to 80	±0.5	1 s	Biometric data
8	Skin thermometer	°C	−40 to 80	±0.5	1 s	Biometric data
9	Skin thermometer	°C	−40 to 80	±0.5	1 s	Biometric data