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Research Article

Towards gestured-based technologies for human-centred Smart Factories

, , , , & ORCID Icon
Pages 110-127 | Received 22 Jul 2021, Accepted 31 Aug 2022, Published online: 13 Sep 2022

Figures & data

Table 1. Capturing methods and ergonomic assessment measure.

Figure 1. Layered structure of the ErgoTakt approach.

Figure 1. Layered structure of the ErgoTakt approach.

Figure 2. Scheme of the work preparation, data collection and optimization.

Figure 2. Scheme of the work preparation, data collection and optimization.

Figure 3. Virtual process chain with 9 manual assembly steps.

Figure 3. Virtual process chain with 9 manual assembly steps.

Table 2. Input data for the ErgoTakt algorithm.

Table 3. Categorized literature review gesture-controlled robotics.

Figure 4. Initial job assignment.

Figure 4. Initial job assignment.

Figure 5. Cycle time balancing chart; (left) phase 1 optimization without ergonomic, (right) phase 2 ErgoTakt optimization (right).

Figure 5. Cycle time balancing chart; (left) phase 1 optimization without ergonomic, (right) phase 2 ErgoTakt optimization (right).

Figure 6. Architecture for cloud-based gesture control.

Figure 6. Architecture for cloud-based gesture control.

Figure 7. (a) top-view of the test bench with the MECA500 robot the camera; b) NodeRed flow and its direction; c) Resulting robot position after pointing a position with the index-finger.

Figure 7. (a) top-view of the test bench with the MECA500 robot the camera; b) NodeRed flow and its direction; c) Resulting robot position after pointing a position with the index-finger.