Toothbrushing Monitoring using Wrist Watch

Abstract

Daily toothbrushing is essential for maintaining oral health. However, there is very limited technology to monitor the effectiveness of toothbrushing at home. In this paper, a system is built to monitor the brushing quality on all 16 tooth surfaces using a manual toothbrush and an off-theshelf wrist watch. The toothbrush is modified by attaching small magnets to the handle, so that its orientation and motion can be captured by the magnetic sensor in the wrist watch. The toothbrushing gestures are recognized based on inertial sensing data from the wrist watch. As the acoustic signal collected from the watch is correlated with the motion of toothbrushing stroke, acoustic sensing algorithm is designed to assist in recognition. User-specific toothbrushing order is also utilized to improve the surface recognition. In extensive experiments with 12 users over 3 weeks, our system successfully recognized toothbrushing gestures with an average precision of 85.6%. CCS Concepts •Applied computing → Life and medical sciences; •Human-centered computing → Ubiquitous and mobile computing systems and tools;

MyoKey: Surface Electromyography and Inertial Motion Sensing-based Text Entry in AR

“…In MyoKey, we explore the IMU-induced and sEMG-driven interaction for character inputs. The freehand interaction-based approach [13] relies on visual recognition of hand movements to obtain textual input. HIBEY [3] explores the 1-line keyboard configuration but neglects the interaction with in-text characters, while MyoKey addresses both the in-text (selection/deletion of typed characters) and keyboard interaction (selecting new characters/ recommended words).…”

mORAL

“…For example, the model for detecting physical activity like walking [34,40] is not directly applicable to detecting eating. Similarly, the models for eating [48] or smoking [11,28,32] while others instrumented manual toothbrushes by either adding inertial sensors [26] or attaching a mini smartphone [2]. A focus of these works has been to recognize the tooth surface being brushed [11,26,32,35].…”

“…Similarly, the models for eating [48] or smoking [11,28,32] while others instrumented manual toothbrushes by either adding inertial sensors [26] or attaching a mini smartphone [2]. A focus of these works has been to recognize the tooth surface being brushed [11,26,32,35]. Some research teams have utilized innovative acoustic-based approaches where audio data, collected by a smartphone application or a microphone are inserted into the brush head to evaluate toothbrushing performance [19,20,30].…”

“…Smart toothbrushes can track brushing duration and provide user feedback regarding pressure applied to the teeth during brushing [18]. Researchers have explored adding newer sensors for improving the detection of brushing surfaces [26], instrumented miniature cameras into the toothbrush head for detecting plaque [50], and developed implantable assistive brushing devices [12,33] to assist children and individuals with disabilities.…”

Pattern Classification using Three Axis Accelerometer and Magnetic Sensor Toothbrush

“…Parkinson's illness is regularly joined by these extra issues, which might be treatable we may encounter psychological issues (dementia) and thinking difficulties. [6] These typically happen in the later phases of Parkinson's infection. We may encounter gloom, here and there in the in all respects beginning periods.…”