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Wifi-based robust indoor localization for daily activity monitoring
Achieving indoor localization enables several intelligent home applications, such as monitoring overall activities of daily living (ADL) and triggering location-specific IoT devices. In addition, ADL information further facilitates physical and mental ...
Retracted on August 26, 2024:RPAA: an algorithm for R peak annotation in high-noise ECG signals based on deep learning
Detection of R waves from ECG signals is of great importance yet challenging for the diagnosis of cardiovascular diseases due to the noise. In this paper, an anti-noise R Peak Annotation Algorithm (RPAA) is proposed. In RPAA, the detection of the R peak ...
ARD: accurate and reliable fall detection with using a single wearable inertial sensor
Accidental fall is one of the major factors threatening the health of the elderly, which promotes the considerable development of fall detection technology. In our study, a novel method is proposed to detect falls prior to impact during walking. In terms ...
GPSLAM: towards scalable and sustainable indoor positioning systems with mobile data
Survey-based indoor positioning systems are expensive to establish and maintain. We describe how a crowdsourced WiFi radio map building problem can be framed as a trajectory alignment problem and further solved by the existing graph-based Simultaneous ...
AI enabled RPM for mental health facility
Mental healthcare is one of the prominent parts of the healthcare industry with alarming concerns related to patients' depression, stress leading to self-harm and threat to fellow patients and medical staff. To provide a therapeutic environment for both ...
Brain tumor segmentation based on CBAM-TransUNet
Brain tumor is one of the most serious brain diseases, and accurate brain tumor segmentation is crucial in clinical planning treatment and evaluating treatment outcomes in brain tumor patients. In this paper, we propose a 3D visual transducer model (CBAM-...
Index Terms
- Proceedings of the 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare