Clustering-Based Multi-Touch Algorithm Framework for the Tracking Problem with a Large Number of Points

Huang, Shih-Lun; Hung, Sheng-Yi; Chen, Chung-Ping

doi:10.7873/date.2015.0017

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A conventional multi-touch algorithm framework is shown in Fig. 2 [18]. There are four main steps to obtain coordinates of touch points and their identifications (IDs).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Frequency Hopping and Parallel Driving With Random Delay Especially Suitable for the Charger Noise Problem in Mutual-Capacitive Touch Applications

2019

Self Cite

View full text Add to dashboard Cite

Charger noise can cause inaccurate touch points and fake touch points to appear; this can cause a device to behave incorrectly. The intensity of charger noise could be much larger than the intensities of the original touch signals. Furthermore, the frequency of charger noise varies for each different charger. Therefore, industry experts have identified charger noise as the most difficult problem in capacitive touch applications. The demand for a solution to this problem has become crucial for the mobile market. In this paper, we prove that a particular combination of frequency hopping and repeated integration is an effective method to handle this problem. In addition, we propose an efficient discrete Fourier transform-based algorithm to select an effective sensing frequency. We propose parallel driving with random delay to enhance the signal-to-noise ratio (SNR). We show an efficient hardware-software co-design that facilitates the application of our methods in touch ICs. The experimental results show that our methods can increase SNR by over 45 dB and can find an effective sensing frequency fast and dynamically.INDEX TERMS Charger noise, parallel driving, frequency hopping, repeated integration, mutual-capacitive touch.

show abstract

“…A conventional multi-touch algorithm framework is shown in Fig. 2 [18]. There are four main steps to obtain coordinates of touch points and their identifications (IDs).…”

Section: Introductionmentioning

confidence: 99%

“…Although most works presented the advanced hardware solutions to achieve better performance, such as SNR and speed, than the previous ones, they did not consider the manufacturing cost and the other side effects. The multi-touch algorithm framework [18].…”

Section: Introductionmentioning

confidence: 99%