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Ubiquitous was increasingly used in industrial technology 4.0, especially those aimed at facilitating human's activities. This was due to the fact that ubiquitous technology was small and inexpensive, but had limited resources. Research on ubiquitous had been widely developed, especially in the use of sensors in ubiquitous. Sensor optimization of facial detections had also been done a lot. High computation for face detection and facial emotions caused overload on ubiquitous. This was caused by limited resources. These limitations caused a decrease in the level of face detection accuracy. This research developed new techniques for face detection, especially emotions by using ubiquitous. This facial emotion detection used a hybrid Computational Intelligence algorithm whose process was done on ubiquitous. Fuzzy C-Mean algorithm functioned as a color grouping in face detection.

Ubiquitous was increasingly used in industrial technology 4.0, especially those aimed at facilitating human's activities. This was due to the fact that ubiquitous technology was small and inexpensive, but had limited resources. Research on ubiquitous had been widely developed, especially in the use of sensors in ubiquitous. Sensor optimization of facial detections had also been done a lot. High computation for face detection and facial emotions caused overload on ubiquitous. This was caused by limited resources. These limitations caused a decrease in the level of face detection accuracy. This research developed new techniques for face detection, especially emotions by using ubiquitous. This facial emotion detection used a hybrid Computational Intelligence algorithm whose process was done on ubiquitous. Fuzzy C-Mean algorithm functioned as a color grouping in face detection.

Ubiquitous was increasingly used in industrial technology 4.0, especially those aimed at facilitating human's activities. This was due to the fact that ubiquitous technology was small and inexpensive, but had limited resources. Research on ubiquitous had been widely developed, especially in the use of sensors in ubiquitous. Sensor optimization of facial detections had also been done a lot. High computation for face detection and facial emotions caused overload on ubiquitous. This was caused by limited resources. These limitations caused a decrease in the level of face detection accuracy. This research developed new techniques for face detection, especially emotions by using ubiquitous. This facial emotion detection used a hybrid Computational Intelligence algorithm whose process was done on ubiquitous. Fuzzy C-Mean algorithm functioned as a color grouping in face detection.

Ubiquitous was increasingly used in industrial technology 4.0, especially those aimed at facilitating human's activities. This was due to the fact that ubiquitous technology was small and inexpensive, but had limited resources. Research on ubiquitous had been widely developed, especially in the use of sensors in ubiquitous. Sensor optimization of facial detections had also been done a lot. High computation for face detection and facial emotions caused overload on ubiquitous. This was caused by limited resources. These limitations caused a decrease in the level of face detection accuracy. This research developed new techniques for face detection, especially emotions by using ubiquitous. This facial emotion detection used a hybrid Computational Intelligence algorithm whose process was done on ubiquitous. Fuzzy C-Mean algorithm functioned as a color grouping in face detection.

Ubiquitous was increasingly used in industrial technology 4.0, especially those aimed at facilitating human's activities. This was due to the fact that ubiquitous technology was small and inexpensive, but had limited resources. Research on ubiquitous had been widely developed, especially in the use of sensors in ubiquitous. Sensor optimization of facial detections had also been done a lot. High computation for face detection and facial emotions caused overload on ubiquitous. This was caused by limited resources. These limitations caused a decrease in the level of face detection accuracy. This research developed new techniques for face detection, especially emotions by using ubiquitous. This facial emotion detection used a hybrid Computational Intelligence algorithm whose process was done on ubiquitous. Fuzzy C-Mean algorithm functioned as a color grouping in face detection.

Ubiquitous was increasingly used in industrial technology 4.0, especially those aimed at facilitating human's activities. This was due to the fact that ubiquitous technology was small and inexpensive, but had limited resources. Research on ubiquitous had been widely developed, especially in the use of sensors in ubiquitous. Sensor optimization of facial detections had also been done a lot. High computation for face detection and facial emotions caused overload on ubiquitous. This was caused by limited resources. These limitations caused a decrease in the level of face detection accuracy. This research developed new techniques for face detection, especially emotions by using ubiquitous. This facial emotion detection used a hybrid Computational Intelligence algorithm whose process was done on ubiquitous. Fuzzy C-Mean algorithm functioned as a color grouping in face detection.