Applying the Interaction of WalkingEmotion to an Assistive Device for Rehabilitation and Exercise To maintain a high level of motivation is a vital issue during rehabilitation because rehabilitation involves much pain, depression, and discomfort. To study the mental state of patients is necessary. A new assistive approach using emotion evaluation combined with an assistive walking device to maintain motivation during the rehabilitation is proposed. To realize it, the walkingemotion relationship within personal walking limitation (PWL) was explored at first. The results showed that when people walked by following the personal preferred walking ratio (PPWR), they were evoked the arousal emotion and kept the current valence emotion simultaneously; however, when people were not following PPWR to walk, the negative emotion was elicited. After that, subject was required to wear the assistive walking device to conduct the test, which aims to observe the emotion variation when subject walked at specific walking gait with an assistive device. We then are according to current emotion state to tune device. The findings show if people mistakenly use the device, unpleasant feeling would be elicited. When we properly tuning assistive device conforms to current gait, it can validly alleviate the negative emotion further becoming the positive emotion. From these results, we conclude that emotion can be affected by walking. By using walkingemotion evaluation to an assistive device, we can be according to usersxe2x80x99 emotion to control device; also, we can use an assistive device to inspire usersxe2x80x99 emotion to further maintain motivation. Finally, this assistive approach provides a useful treatment way for serving rehabilitation.

Wearable Emotion Recognition Using Heart Rate Data from a Smart Bracelet Emotion recognition and monitoring based on commonly used wearable devices can play an important role in psychological health monitoring and humancomputer interaction. However, the existing methods cannot rely on the common smart bracelets or watches for emotion monitoring in daily life. To address this issue, our study proposes a method for emotional recognition using heart rate data from a wearable smart bracelet. A xe2x80x98neutral  targetxe2x80x99 pair emotion stimulation experimental paradigm was presented, and a dataset of heart rate from 25 subjects was established, where neutral plus target emotion (neutral, happy, and sad) stimulation video pairs from Chinaxe2x80x99s standard Emotional Video Stimuli materials (CEVS) were applied to the recruited subjects. Normalized features from the data of target emotions normalized by the baseline data of neutral mood were adopted. Emotion recognition experiment results approved the effectiveness of xe2x80x98neutral  targetxe2x80x99 video pair simulation experimental paradigm, the baseline setting using neutral mood data, and the normalized features, as well as the classifiers of Adaboost and GBDT on this dataset. This method will promote the development of wearable consumer electronic devices for monitoring human emotional moods.