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Sensing In Exergames for Efficacy and Motion Quality: Scoping Review of Recent Publications

Sensing In Exergames for Efficacy and Motion Quality: Scoping Review of Recent Publications

The Kinect combines a regular RGB (red-green-blue) camera with a depth sensor and can thus be considered a camera-based system. In addition, 1 study each included an exergame using the Eye Toy (London Studio) for Play Station 2 [54] and PS Move (Sony Interactive Entertainment) for Play Station 3 [44], resulting in 28 out of 67 studies featuring at least one camera-based system.

Sebastian Dill, Philipp Niklas Müller, Polona Caserman, Stefan Göbel, Christoph Hoog Antink, Thomas Tregel

JMIR Serious Games 2024;12:e52153

Exploring Contactless Vital Signs Collection in Video Telehealth Visits Among Veterans Affairs Providers and Patients: Pilot Usability Study

Exploring Contactless Vital Signs Collection in Video Telehealth Visits Among Veterans Affairs Providers and Patients: Pilot Usability Study

A novel VVC software feature called “Vitals” uses contactless, video-based, remote photoplethysmography (r PPG) technology through the infrared camera on veterans’ smartphones (and other devices) to automatically scan their faces when incorporated into the video platform (Figure 1). Within 45 seconds, it delivers vital statistics on screen to both the provider and patient. Vitals’ statistics include blood pressure, respiratory and heart rates, pulse, and temperature.

Lynn Garvin, Eric Richardson, Leonie Heyworth, D Keith McInnes

JMIR Form Res 2024;8:e60491

The Utility of Wearable Cameras in Developing Examination Questions and Answers on Physical Examinations: Preliminary Study

The Utility of Wearable Cameras in Developing Examination Questions and Answers on Physical Examinations: Preliminary Study

A physician examined the patient with a wearable camera on his head, recording physician-patient interactions. A compact wide-angle wearable camera (Insta360 ONE R) was used to reproduce a high-resolution physician view, including peripheral view fields (Figure 1).

Sho Fukui, Taro Shimizu, Yuji Nishizaki, Kiyoshi Shikino, Yu Yamamoto, Hiroyuki Kobayashi, Yasuharu Tokuda

JMIR Med Educ 2024;10:e53193

A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

Researchers have also proposed various methods (eg, convolutional neural network [CNN], Fourier transform infrared spectroscopy [FTIR]) to detect the spoilage of specific food items using a camera [8,9,17-21]. Perez-Daniel et al [17] used a camera to detect the spoilage of unspecified food items. They proposed a tool that collects images of both normal and rotten food items through a neural network using Retina Net and compared them to detect the food spoilage.

Minki Chun, Ha-Jin Yu, Hyunggu Jung

JMIR Form Res 2024;8:e55342

Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study

Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study

Most smartphones are equipped with a camera, image sensor, and inertial measurement unit (IMU) sensor; thus, attempts have been made to measure biosignals by using these sensors [11]. If heart movements can be detected by using the IMU sensor of a smartphone and by placing it on an individual’s chest, and if the pulse of the fingertip can be acquired by using the camera of a mobile phone, then the smartphone may be used to estimate the PTT.

Yong-Hoon Yoon, Jongin Kim, Kwang Jin Lee, Dongrae Cho, Jin Kyung Oh, Minsu Kim, Jae-Hyung Roh, Hyun Woong Park, Jae-Hwan Lee

JMIR Mhealth Uhealth 2023;11:e44147

Adapting a Person’s Home in 3D Using a Mobile App (MapIt): Participatory Design Framework Investigating the App’s Acceptability

Adapting a Person’s Home in 3D Using a Mobile App (MapIt): Participatory Design Framework Investigating the App’s Acceptability

Certain types of lighting (see House B for example [28,40]) create significant increased camera exposure time, resulting in very bright images (almost white) and colorless patches in the 3 D model. Nonetheless, it was confirmed that 3 D representations of a person’s home environment could be generated. The repository supported a research grant application to move ahead. During the pretest, the feasibility of a smartphone app was explored.

Manon Guay, Mathieu Labbé, Noémie Séguin-Tremblay, Claudine Auger, Geneviève Goyer, Emily Veloza, Natalie Chevalier, Jan Polgar, François Michaud

JMIR Rehabil Assist Technol 2021;8(2):e24669